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Ai Data Companion I Performance & Pricing Update Every February, UGA does a full performance and pricing review of all our data solutions and services. After over two weeks of rigorous review and analysis, we are excited to announce new performance features and reduced pricing on several of our key offerings, most importantly, Data Optimization 2.0. Performance Feature Advancements in Ai Data Companion’s Data Optimization 2.0 Over the past eight months, our PremCloud Development Team has been building several new features that accelerate and amplify Data Optimization as the market-leading solution for turning Unstructured Data from Windows and Linux File Shares into Actionable Smart Data. Ai Data Companion Optimization 2.0’s new features include: 1. Enhanced Image Analysis for Improved Accuracy & Richer Insights Petabytes of untagged images sit unused across Windows and Linux file shares, but Data Optimization’s new Florence-2 Visual Intelligence integration changes that by automatically scanning, tagging, and captioning every image. The result? Actionable Smart Data for faster insights and unprecedented efficiency. 2. Faster & More Efficient Text Recognition with Improved OCR Scanned documents and image-based text files are a massive blind spot, forcing customers to manually search or risk missing critical data. Data Optimization now features RapidOCR, a cutting-edge OCR engine that extracts text from images, scans, and PDFs faster, more accurately, and with less system strain. What once took hours now takes minutes. 3. Advanced Content Search Capabilities to Get to the Right File Faster When compliance is strict and legal teams require accuracy, Data Optimization 2.0 now includes Advanced Elasticsearch Operators for highly refined searches. You can sift through millions of files, utilize proximity search, and reduce false positives far quicker, more accurate results. Discover exactly what you need, instantly. 4. Improved File Management for Streamlined Workflow Sorting through thousands of files one by one is inefficient, so Data Optimization 2.0 now features Multi-File Select for batch tagging, grouping, and organizing files in a single action. You can select hundreds of files in seconds, streamline organization, and speed up reviews, saving hours on administrative tasks. 5. Enhanced Processing Reliability for Robust & Resilient Analysis Large jobs shouldn’t fail due to crashes or network issues. Data Optimization 2.0 now integrates JetStream, a persistence engine that captures progress in real-time and resumes interrupted jobs instantly, with no restarts and no lost work. 6. Improved System Observability for Maximum Performance Data Optimization 2.0 now features OpenTelemetry, delivering real-time performance alerts to prevent slowdowns before they happen. IT teams can troubleshoot faster, minimize downtime, and ensure seamless processing, even under heavy workloads. Page 2 UGA MarketPlace

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Ai Data Companion I Introduction Welcome to this new profile of Ai Data Companion for our UGA MarketPlace International Network of Authorized Agents and White-Label Resellers [“Resellers”]. Ai Data Companion specializes in Data Optimization, distinguishing itself by addressing the challenge of rapidly harnessing escalating Unstructured Data at scale. Ai Data Companion Optimization 2.0 In the new digital AI age, Ai Data Companion is now positioned at the forefront of the evolution in data management, leading the way with innovative solutions that effectively and securely leverage the power of Artificial Intelligence. The introduction of Ai Data Campanion’s AI-infused Data Optimization 2.0 marks a significant advancement in our market-leading offerings. This comprehensive Data Optimization solution stack includes our proprietary Ai Data Detect, which collectively transforms the avalanche of Unstructured Data into Actionable Smart Data at remarkable scale and speed, providing dramatic data storage cost savings and maximum ROI on an organization’s entire data estate and its growing investment in AI. UGA MarketPlace’s International Network of Authorized Agents and Resellers We created Ai Data Companion to provide substantial value and limitless potential, and we are now making our extraordinary solutions available to accounts worldwide through UGA MarketPlace’s International Network of Authorized Agents and Resellers. Jamie Welsted Director, UGA MarketPlace Page 4 UGA MarketPlace

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UGA MarketPlace I '24 Summer Conference A heartfelt thank you to everyone who traveled to Williamsville, NY, for our second UGA MarketPlace International Summer Conference. Your contributions, insights, and enthusiasm greatly enhanced the quality of our presentations and discussions throughout the week. Giancarlo's was an ideal venue, and the food and hospitality provided by Gabriela, Anthony, and their entire team made the event both enjoyable and memorable. Once again, we enjoyed a variety of enthusiastic presentations that were informative, thought-provoking, and often inspiring. The face-to-face interactions facilitated spontaneous exchanges of ideas, which continue to complement our effective international remote work environment. While virtual communication tools are valuable for our global collaborations, they cannot fully replicate the richness and depth of in-person dialogue. As I mentioned at the outset, this year's conference marked the end of our practice phase, and it certainly proved beneficial. Data Optimization Throughout the week, we showcased our new Data Optimization, set for general release to customers worldwide on January 1st. Introducing the UGA MarketPlace The UGA MarketPlace '24 Summer Conference also provided a platform to highlight the exceptional opportunities our new UGA MarketPlace will offer to our burgeoning International Network of Authorized Agents and Resellers. This week's meetings, presentations, and discussions presented a unique opportunity for all attendees to actively participate in shaping our future, which promises significant benefits for everyone willing to build it. Once again, thank you to everyone who attended the UGA MarketPlace '24 Summer Conference. Our few days together exceeded expectations, and the future looks incredibly bright. Save the date for next year: UGA MarketPlace '25 Summer Conference [possibly in San Sebastian, Spain] from Monday, June 23rd to Wednesday, June 25th. Page 7 UGA MarketPlace

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UGA MarketPlace I Agent Onboarding Our mission is to establish UGA MarketPlace as a business resource that provides comprehensive global access to exceptional Ai Data Companion products and services for our Agents and Resellers worldwide. UGA MarketPlace represents a culmination of our vision to leverage our resources for greater opportunities, growth, and profitability. Launching January 1st With our January 1, 2025 launch, UGA MarketPlace will deliver an easily accessible and useful library of essential information on all Ai Data Companion offerings. Our MarketPlace will facilitate and enhance opportunities for our Agents and Resellers. As the Ai Data Companion offerings grow, our Agents and Resellers and their customer opportunities will grow as well. International Network of Agents and Resellers Central to our mission will be the success of our Agents and Resellers. By providing global access and showcasing a diverse array of remarkable Ai Data Companion products and services, UGA MarketPlace will equip our Agents and Resellers with the tools to effectively meet the needs of their commercial, institutional, and government customers worldwide. ● Global Access Agents and Resellers will have authorized global access to a broad spectrum of Ai Data Companion offerings, streamlining the sales process and maximizing revenue potential. ● Comprehensive Support Ai Data Companion will provide robust sales support, fulfillment protocols, and exceptional commission structures, ensuring our Agents and Resellers are incentivized and fully empowered. ● Value Proposition Each Ai Data Companion product and service will be meticulously detailed in a Smart Card to highlight its unique value proposition, ensuring that Agents and Resellers can effectively communicate benefits to prospective customers. ● Agent Empowerment Through training, certification programs, and ongoing support, UGA MarketPlace will empower Agents and Resellers to capitalize on opportunities and drive mutual growth. Agents and Resellers are responsible for cultivating opportunities through their existing network. If an Agent creates merely an introduction that generates an opportunity for Ai Data Companion, that Agent will still be commissioned appropriately for the resulting paid business. Agents and Resellers who have existing relationships as a trusted provider within their market can now leverage these relationships with Ai Data Companion offerings, which in turn will strengthen their customer relationships and provide additional earnings. Looking ahead, Ai Data Companion remains committed to continuous innovation and expansion. We aim to enhance our MarketPlace with new offerings, advanced technologies, and enhanced support services to ensure our network remains at the forefront of technology. Page 9 UGA MarketPlace

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The Advantage Co I Legacy of Success Though a new company, Ai Data Companion has been built on our remarkable legacy of success in technology. Over 40 years ago, we launched Computer Head Start in Williamsville, NY, as the first of the Advantage Co’s independently owned and operated tech adventures. Since then, our success in the tech space has benefited everyone who has had the resolve to invest, innovate, and persevere. FedRamp Authorization for the First Cloud Platform One of the Advantage Co’s most outstanding tech developments was being the first to earn the FedRAMP Authority to Operate - blazing a trail for our remarkable problem-solving development efforts in the world of first-generation and next-generation tech platforms. Launched in North Carolina with our Managing Partner, John Keese, Autonomic Resources developed the groundbreaking FedCloud Platform, ARC-P, to become the first to secure the highly coveted FedRamp Authorization for a cloud platform for federal agencies. Over a decade ago, the Obama Administration recognized the need to transition to a secure cloud deployment model for all 450+ federal agencies. Autonomic Resources answered the call to develop the highest-level-security federal cloud platform [based on the stringent NIST demands] that could be utilized by all federal agencies [including our alpha account, the Department of Defense] and all of their potential providers. Remarkably, we delivered the first FedRamp Authorized Cloud Platform well ahead of industry giants like AWS, Azure, Google, and IBM. Once authorized, we brokered a highly successful sale of our FedCloud Platform to CSC. Azure Digital Transformation Solutions Also of note was our successful engagement with our Capax Global partnership’s alpha account, United Airlines [prior to Capax Global’s successful acquisition by Hitachi Data Systems]. While United Airlines and Microsoft were building a new reservation system in Azure, they came across a myriad of challenges that only Capax Global could solve. As a long-time Microsoft Azure Partner, Capax Global, under the guidance of founding partners Jerry and Jessica Hawk, delivered unbelievably complex and technical solutions to some of the world’s largest companies, and their work with United Airlines was no exception. Click here Ai data Companion's Data Optimization Continuing our legacy of technology innovation, Ai Data Companion's Data Optimization is being introduced as the market-leading solution in the competitive AI-driven landscape, where global organizations grapple with the challenge of managing AI as well as an avalanche of Unstructured Data. Ai Data Companion's new SaaS or on-premise deployed Data Optimization leverages human-augmented AI, blending the speed and analytical power of our Ai Data Detect with human expertise. This universal tool is pivotal in converting Unstructured Data into valuable Actionable Smart Data at scale and speed, enabling organizations to eliminate ROT and dramatically reduce data storage costs while delivering the hoped-for but elusive ROI on their substantial AI investments. Page 11 UGA MarketPlace

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UGA MarketPlace I Agent Activation and Links Welcome to the UGA MarketPlace. UGA MarketPlace Website This booklet is specifically for prospective and current UGA MarketPlace Agents. For any questions, comments, clarifications, or corrections, please contact Jamie Welsted at jwelsted@ugamarketplace.com or 716.430.2929. 5 Steps [with links] to Agent Activation and MarketPlace Participation Here are the 5 steps you need to take to become an authorized and participative agent: 1. Read this SimpleBooklet in its entirety. 2. Fill out the online UGA MarketPlace Agent Form. UGA MarketPlace Agent Registration Form Link This is a quick and simple registration form that provides us with your basic profile and contact information. 3. Confirmation UGA MarketPlace Agent Letter of Engagement This engagement letter confirms the agreement between UGA MarketPlace and the Agent as an independent contractor to represent UGA MarketPlace and its portfolio of independently owned and operated Providers. DocuSign Link 4. Account Registration UGA MarketPlace Agent's Account Reservation Request Form To register an opportunity, complete the Reservation Request Form. UGA MarketPlace will review the request and notify you of approval to make introductions to potential customers, resellers, or acquirers. 5. UGA MarketPlace Global Access UGA MarketPlace Agent Login Click on ‘Log In’ in the header and enter the required information. Use the email address you provided during registration to complete your account setup. UGA MarketPlace will review your information and approve full access. Page 13 UGA MarketPlace

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Data Optimization 2.0 I Agent Commission Program The Data Optimization 2.0 Agent Commission for the sale of our Data Optimization 2.0 is a remarkable 30% of the License Fee. A Data Optimization Agent can also sell Data Optimization 2.0’s 5-Year White-Label Reseller License for $500K and receive a 30% commission [$150K]. The Level 1 Agent’s 30% Commission for a new license activation is broken down into three separate components: 10% commission for the referral, 10% commission for the presentation, and 10% commission for the closing of the sale. This rewards full participation by the Agent. Key Offering: Data Optimization 2.0 Data Optimization $1,500 per Terabyte SaaS Deployment Data Optimization provides deep indexation with full text and content search. This enables user-driven identification, classification, and profiling with user-designated retention policies. The AI-infused Level 3 Scan goes beyond the deep scan by engaging the AI analysis workflows with scheduling and automation. Level 3 AI-driven models can be used on business-critical data, while other data, where appropriate, can be handled by more economical Intelligent Data Scans. On-Premise Deployment $500K Annual Unlimited License For an on-premise deployment of Data Optimization, the user can purchase an Annual License for Unlimited Use [$500K] or a 4-Year License for Unlimited Use [$1.5M]. Page 15 UGA MarketPlace

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UGA Solution Profiles I Innovation Beyond Archiving Through continuous innovation and a commitment to responsible AI excellence and security, Ai Data Companion remains a trusted partner for enterprises worldwide, guiding them through the complexities of data archiving in an ever-changing AI-driven technological environment. UGA is poised to lead the data archive market in the new digital AI age, providing our global customer base with universal state-of-the-art solutions such as our AI-infused Data Optimization Tool Kit that meet the evolving demands of data governance, storage, compliance, risk, eDiscovery, and security. Turning the Avalanche of Unstructured Data into Valuable Actionable Smart Data Organizations are generating an avalanche of Unstructured Data at an unprecedented rate [as the amount of data that is being generated in the world - according to Michael Dell - will double every eight months], fueled by factors such as increased digitalization, IoT devices, social media, AI, and customer interactions, as well as challenging distributed workforces and increased utilization of chat and collaboration platforms [MS Teams, Zoom, Slack, etc.]. This runaway growth has exposed the damaging limitations of every organization’s legacy data solutions that leave massive amounts of Unstructured Data in the lurch. As the premier data archivists in the legal, BFSI, healthcare, government, and commercial markets, we recognize that every organization is caught up in this data predicament. With our new Data Optimization, we are now able to successfully and rapidly address the avalanche of Unstructured Data that is overwhelming organizations. Our new AI-infused Data Optimization tools have been developed to process Unstructured Data at speed and scale, rapidly turning enormous stores of Unstructured Data into Actionable Smart Data - providing real value to an entire data estate. Ai Data Companion's Data Optimization Ai Data Companion's Data Optimization brings unparalleled capabilities to the challenges of the modern digital landscape. With the explosion of Unstructured Data, traditional data archive tools fall short in handling the complexity and volume of current data environments. Rapid Hosted or On-Premise Deployment Powered by PremCloud Ai Data Companion ensures that all our Advanced Archive 1.0 On-Premise and SaaS solutions are deployed, delivered, and supported with the highest reliability and performance standards. Powered by PremCloud empowers us to offer a seamless and efficient Data Optimization and archiving experience, leveraging the latest advancements in AI and cloud technology. Powered by PremCloud also provides our Terabyte Tester as a SaaS consumable, proof-of-value tool to demonstrate Data Optimization's ability to deliver an immediate ROI. Our Terabyte Tester Program offers a free, no-risk opportunity to demonstrate Data Optimization. Analyze up to 1TB of data at no cost, and receive a comprehensive report that: ● Identifies redundant, obsolete, and trivial [ROT] data. ● Clarifies data ownership & custodial responsibilities. ● Uncover hidden risks and vulnerabilities. ● Highlight opportunities for cost savings and ROI. Explore the full program details here. Page 18 UGA MarketPlace

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Ai Data Companion Solution I Data Optimization 2.0 Data Optimization addresses the challenges of managing Unstructured Data, which can lead to inefficiency and compliance risks. This Tool Kit is specifically designed to tackle the complexities of harnessing Unstructured Data. Data Optimization aims to transform Unstructured Data into Actionable Smart Data. Key benefits of the Data Optimization Tool Kit include significant cost savings by identifying and eliminating ROT data, risk mitigation through sensitive information management, improved decision-making, enhanced data quality, re-tiering data to more cost-effective storage solutions, ensuring compliance, and maximizing ROI on data and AI investments. The suite is available in both SaaS and on-premise deployments, with the SaaS version, Data Optimization SaaS Express, minimizing financial risks by aligning costs with consumption. ● Data Reader [formerly Data Connect] Data Reader securely and seamlessly reads Unstructured Data sitting idle across Windows and Linux file systems. Its ability to read data at an exabyte scale ensures that targeted Unstructured Data can be accessed and processed by Ai Data Detect without moving it. Although solutions claim to address Data Bloat, none can perform at the speed or scale of our Data Reader, which can now scan 8 million files per hour [that’s one billion files per week]. ● Ai Data Detect Ai Data Detect indexes the Unstructured Data by identifying, enriching, and assigning ownership. This enables currently unactionable data, including Dark Data, to become Actionable Smart Data. By recognizing the context and meaning of the data, Ai Data Detect makes it searchable and analyzable [ready for action]. Ai Data Detect can also identify sensitive information and categorize data based on content utilizing AI when appropriate. ● Smart Data Router ○ Elasticsearch Indexing Smart Database The Smart Data Router’s Unified Data Optic provides a unified view of what is now Actionable Smart Data using an Elasticsearch Indexing Database to enable efficient data exploration, retrieval, analysis, and Data Collections. ○ Smart Data Collections Data Collections in the Unified Data Optic empower organizations to make informed decisions without moving, altering, or compromising the data itself. ○ Smart Data Routing Instructions The Smart Data Router provides Optimized Retention Policy Routing Instructions based on the organization’s Policy, Compliance, Utilization, and Security demands. By aligning actions with the organization’s demands, the Smart Data Router empowers organizations to make informed decisions, streamline operations, and mitigate risk. Data Optimization Benefit By taking action on the Smart Data Routing Instructions, Data Optimization offers a powerful solution for managing the growing volume of Unstructured Data. The result is a comprehensive, AI-driven approach to data management that enables organizations to unlock the full potential of their Unstructured Data while eliminating ROT, reducing costs, mitigating risks, and now having the ability to take action against data that was previously dormant and expensive to maintain. Page 20 UGA MarketPlace

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Ai Data Companion Solution I Data Optimization 2.0 By identifying and disposing of ROT and re-tiering what is now Actionable Smart Data, Ai Data Companion Data Optimization will dramatically reduce an organization’s data storage costs, optimize resource allocation, and maximize ROI. Policy, Compliance, Utilization, and Security Driven Data Optimization’s AI-infused Policy, Compliance, Utilization, and Security Demand-Driven Ai Data Detect ensures the processes and actions are transparent, understandable, and accountable, enabling the organization to identify and correct errors or biases. Artificial Intelligence & Data Integrity Ai Data Companion’s Data Optimization is crucial for building trust in AI and internal LLMs among users, regulators, and other stakeholders. With Ai Data Companion’s remarkable Ai Data Detect tool, Data Optimization mitigates risks related to data misuse, privacy breaches, and unethical AI behavior. ➔ Data Quality and Integrity Data Optimization starts by ensuring that data is properly identified, uncompromised, and reliable to prevent garbage-in-garbage-out scenarios that lead to unintended consequences or risk due to incorrect conclusions or actions, especially by AI systems. ➔ Data Privacy and Security Data Optimization protects sensitive and personal data, especially when used by internal LLMs, in compliance with data protection regulations [e.g., GDPR, CCPA] and ensures that data is securely stored and transmitted. ➔ Ethical Use of Data Ai Data Detect allows for the establishment of guidelines to prevent biases in AI Large Language Models [LLMs] and ensures AI systems respect human rights and values. ➔ Compliance with Regulations Ai Data Detect ensures that LLMs and their use of data comply with all relevant laws and regulations, including those specific to certain industries or types of data. ➔ Data Accessibility and Sharing Data Optimization facilitates controlled access to data within and outside your organization, promoting collaboration while respecting data privacy. ➔ Sustainability Ai Data Detect mitigates the environmental impact of running AI models that create massive amounts of useless and high-risk data while implementing strategies to reduce carbon footprint and energy consumption. ➔ Future-Proof Archiving and Integration Ai Data Detect ensures that your organization's archiving processes remain modern and future-proof. The solution adapts to emerging technologies and regulatory changes, providing advanced features to address new challenges in data management. Moreover, Data Optimization seamlessly integrates with all storage, maximizing the value of stored data, enhancing overall data management capabilities, and dramatically increasing data ROI. Page 22 UGA MarketPlace

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Ai Data Companion I Customers and Partnerships Ai Data Companion is esteemed by global data management leaders for its expertise in cloud hosting, security operations, data retention, compliance, archiving, and IDOL. Its diverse customer base includes renowned data management providers and organizations trusting Ai Data Companion' solutions for our critical data management needs. Key clients include EY Global, McDermott International, GE, Barclays, Network Rail, SiriusXM Radio, McKesson, Lloyds Bank of London, Rolls Royce Solutions, Kirkland & Ellis, 14 of the top 100 Law Firms, among others. Ai Data Companion Key Client Testimonials: EY Global “When our legal team performs an investigation, the results have to be very quick. The Ai Data Companion system is like magic. In 30 seconds, we have a result. This is important for the volume of data that we have, which is 250 TB for Germany alone. The interface is very easy to use to fill even complex requests for compliance with our regulatory requirements. ” - Benoit Ferron, Infrastructure Engineer | EY Global GE [Alpha Deployment] Case Study: Impact and Value Ai Data Companion’s alpha deployment of Data Detect demonstrates the profound impact of this solution in managing over-preserved data. This collaboration has significantly reduced GE’s data storage costs and enhanced the effectiveness of its analytics programs. By addressing GE's big data problem, Ai Data Detect has showcased its capability to solve complex data management issues, leading to substantial cost savings and improved data analysis. By leveraging Data Detect, GE is able to intelligently re-tier its data storage, moving over 4 PB of data off of expensive Tier 2 storage and moving nearly 6 PB of previously unidentified Unactionable [Dark] Data to significantly cheaper cloud-based storage. Data Detect saved GE an estimated $30M - an incredible 60% reduction in storage costs over 3 years. Ai Data Companion Storage ROI Calculator and its Impact The Ai Data Companion Storage ROI Calculator offers a tangible demonstration of Data Optimization’s unprecedented cost-saving potential. Such significant cost savings, along with enhanced search capabilities and data security, underline Ai Data Companion' effectiveness in optimizing data storage and ensuring data confidentiality. This is before monetizing the value of your entire Unstructured Data estate [which Data Optimization has converted to Actionable Smart Data]. Page 24 UGA MarketPlace

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Ai Data Companion I ROI Calculator The Ai Data Companion ROI Data Storage Calculator demonstrates how using AI-infused technology drives cost savings in data storage for your organization. By accurately analyzing the impact of implementing Ai Data Companion solutions, your organization optimizes its storage usage and appropriate tiering to reduce costs dramatically. The Ai Data Companion ROI Data Storage Calculator provides industry baselines and allows for assumptions to be tailored to each organization, first to project estimated cost reduction opportunities and then to retrospectively report on actual savings as storage optimization programs. Utilizing the Alpha deployment of Data Detect, Ai Data Companion and the GE Core Tech Team have combined to solve GE’s data problem. The calculator operates based on the following assumptions like those in the GE engagement. Managing over 26 petabytes [PBs] of storage, GE found itself grappling with the complexities of an ever-expanding storage estate. With a looming divestiture deadline driving the project timeline, Ai Data Companion, working with GE CoreTech, established the scope of the initial program to analyze approximately 10 PB of critical data Tier 2 and Tier 3 storage for simple ownership, age, and last access characteristics. Watch the GE testimonial video on how Ai Data Detect solved their data allocation at scale and delivered $30M in storage cost savings. Page 26 UGA MarketPlace

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Ai Data Companion I Terabyte Tester The Ai Data Companion Terabyte Tester Program offers a free, no-risk, rapid, one- to two-week opportunity to showcase the transformative power of Data Optimization. Customers can analyze up to 1 Terabyte of their data in a secure environment and receive a detailed report that delivers actionable insights to: ● Identifies redundant, obsolete, and trivial [ROT] data. ● Clarifies data ownership & custodial responsibilities. ● Uncover hidden risks and vulnerabilities ● Highlight opportunities for cost savings and ROI. Delivered via a secure, single-tenant Ai Data Companion Hosting SaaS environment, this program ensures expert guidance at every step, from data selection to actionable insights. Program Workflow 1. Data Selection and Staging Select up to 1TB of Unstructured Data and copy it to a secure, isolated location. This ensures the safety of your production environment. 2. Secure Access and Connectivity A service account and secure remote access will be established to connect your data to the Terabyte Tester SaaS tenant. Specific firewall rules and protocols will ensure a secure and seamless connection. 3. Scanning and Analysis Using Ai Data Companion’s AI-powered tools, data will be scanned to identify ROT data, uncover risks, and classify information for deeper insights. 4. Reporting and Review A comprehensive report will outline findings, including data types, ownership, ROT data, and analysis results. 5. Conclusions and Transition Wrap up with a clear understanding of how Ai Data Companion can optimize your data. Options for transitioning to a production-level deployment will also be explored. Timeline Overview Phase 1: Define & Connect [1-2 days]: Data set selection, secure connections, and baseline setup. Phase 2: Scan & Analyze [2-4 days]: AI-powered scans and data tagging. Phase 3: Report & Review [1-3 days]: Results, recommendations, and insights. Phase 4: Conclusion & Closure [1-2 days]: Wrap-up and next steps. Explore the full program details here. Page 28 UGA MarketPlace

Data Guardian Solutions I Introduction Secure, Compliant, & Intelligent Data Management Zantaz Data Guardian Solutions provides enterprises with a comprehensive, secure, and compliant approach to managing data across its lifecycle. Designed to address the growing challenges of data security, regulatory compliance, legal discovery, and governance, Data Guardian ensures that organizations can confidently manage and protect their most valuable asset—their data. Why Data Guardian Solutions? ● End-to-End Data Governance – Manage, archive, and secure data from ingestion to long-term storage. ● Regulatory Compliance & Risk Mitigation – Fully aligned with GDPR, SEC 17a-4, FINRA, HIPAA, and other global regulations through automated policy enforcement. ● Seamless eDiscovery & Legal Hold Support – Immutable archiving and advanced search ensure defensible legal discovery processes. ● Secure Enterprise Communications Monitoring – Protect your organization from compliance risks with real-time monitoring and audit trails. ● Efficient Data Migration & Storage Management – Transfer, retain, and govern data securely with advanced migration and ETL capabilities. ● On-Prem, Cloud & Hybrid Deployments – Designed for flexibility and scalability across enterprise IT infrastructures. The Data Guardian Solutions Suite ● Advanced Archive 1.0 – Enterprise-grade, compliant archiving for legal, regulatory, and business continuity requirements. ● Data Drop – Automated file consolidation & secure legal document transfer for seamless eDiscovery workflows. ● Cloud Express Supervisor – Enterprise-wide communications monitoring to detect, track, and report compliance risks. ● Data Connect 1.0 – ETL and data migration for seamless transitions between storage environments and legal systems. ● Powered by PremCloud – Managed services & expert support to ensure smooth deployment and compliance. With Data Guardian Solutions, organizations can ensure secure, compliant, and cost-effective data management to reduce risk, improve governance, and ensure readiness for audits, litigation, and regulatory inquiries. Page 29 UGA MarketPlace

Data Guardian Solutions I eDiscovery Data Guardian Solutions: The Future of eDiscovery & Compliance Legal teams, compliance officers, and regulatory professionals need secure, efficient, and defensible eDiscovery solutions. Zantaz Data Guardian Solutions enables organizations to meet these challenges with immutable data preservation, AI-powered classification, and regulatory-grade audit trails—streamlining legal workflows while reducing risk and cost. Key eDiscovery Benefits ✔ Immutable Storage & Legal Hold Compliance – Tamper-proof data preservation ensures legal defensibility. ✔ Automated Data Classification & Retention – AI-powered tagging and indexing keep data searchable, structured, and compliant. ✔ Rapid Early Case Assessment (ECA) – Advanced search, OCR-enabled document processing, and metadata enrichment accelerate case review. ✔ Regulatory-Grade Audit Trails – Every action is logged with time-stamped, non-modifiable records, ensuring defensibility for regulatory audits and litigation. ✔ Seamless Integration with eDiscovery Platforms – Plug & play with industry-standard tools for faster, more effective case management. Core Solutions for Legal & Compliance Teams 1. Advanced Archive 1.0 – Immutable, SEC & GDPR-compliant archiving with full indexing and retention controls. 2. Data Drop – Automated, secure legal file transfer for seamless document production and case collaboration. 3. Cloud Express Supervisor – Real-time communication monitoring to detect potential compliance risks before they escalate. 4. Data Connect 1.0 – Seamless migration & ETL processing to support legal review, audits, and regulatory compliance. Why Choose Data Guardian Solutions for eDiscovery? ● Reduce the time & cost of eDiscovery by up to 60%. ● Ensure defensible legal holds & compliance-ready archives. ● Gain instant access to high-value case data & metadata. ● Prevent costly legal risks with built-in compliance automation. Page 30 UGA MarketPlace

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Data Guardian Solutions I Advanced Archive 1.0 Advanced Archive 1.0e Comprehensive, Hybrid Archiving Platform for Organizations Requiring Control & Security through their on-premise MS Exchange server. Overview The Advanced Archive 1.0e is a robust, hybrid archiving platform designed to provide organizations with full control over their archived data, compliance management, and user access. Advanced Archive 1.0e is tailored for companies that require granular email archiving, advanced storage management, and direct control over compliance—making it an ideal fit for legal firms, government entities, financial institutions, and enterprises with on-premise MS Exchange servers. Clients can deploy Advanced Archive 1.0e in their Azure Cloud, On-Premise, or in a Hybrid setup while utilizing an On-Premise Exchange Server for maximum security and control. Key Features & Benefits of Archiving 1. Security & Compliance ● Journaling Support – Enables automatic capturing of all inbound and outbound emails for regulatory compliance. ● Employee Directory ID Association – Links email data to corporate directory structures for accurate retention and legal discovery. 2. Advanced Storage Management ● On-Premises Data Control – Full ownership and control over archived data, through your on-premise Exchange server, without reliance on third-party cloud storage providers. 3. User-Centric Experience ● Seamless Outlook Integration – Provides a native experience within Microsoft Outlook, allowing users to easily search and retrieve archived emails. ● Mobile Access & Discovery – Enables users to securely access archived emails and eDiscovery features from mobile devices. 4. Customizable Deployment & Scalability ● Hybrid Deployment – Whether an organization wants a hosted, Cloud Deployment or an On-Premise archiving solution, Advanced Archive 1.0e is suitable for organizations requiring data sovereignty and direct control over infrastructure with their on-premise MS Exchange server. ● High-Volume Data Handling – Scales to handle large volumes of email traffic and historical data, ensuring compliance with data retention policies. Page 32 UGA MarketPlace

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Technical Advantages Feature Benefit Directory-Based Archiving Archives emails based on employee directory IDs, ensuring structured storage. Journaling Support Works seamlessly with your on-prem Exchange servers for compliance retention. eDiscovery & Legal Hold Support Advanced search and retrieval capabilities for legal investigations. Mobile Access Users can securely retrieve and manage archives on the go. Ideal Use Cases ● Legal & Law Firms – Requires legal hold & eDiscovery with full control over archived data. ● Government & Defense – Strict on-premises compliance requirements for data sovereignty. ● Enterprises with On-Prem Exchange – Organizations that maintain on-prem Exchange servers for internal compliance policies. ● Financial Institutions – Compliance-driven firms requiring long-term, structured email retention. Deployment & Pricing ● One-Time Licensing Cost – Higher initial investment with lower long-term costs. ● Annual Maintenance Fees – Typically 15-20% of the initial license cost. ● IT Resource Requirement – Requires an in-house IT team for infrastructure maintenance, offering greater security control. Why Choose Advanced Archive 1.0e? ● Granular control over user archiving preferences. ● Stubbing feature reduces mailbox size without affecting user workflow. ● Fully hybrid solution ensuring complete data sovereignty. ● Deep integration with Outlook, enhancing user experience. For organizations needing a secure on-premise MS Exchange server, Advanced Archive 1.0e is a compliance-driven, Hybrid Email Archiving and a powerful and scalable solution. Advanced Archive 1.0ch Cloud-Native, Scalable Hybrid Archiving for Modern Businesses. Overview Page 34 UGA MarketPlace

Advanced Archive 1.0ch is a hybrid email archiving solution (deployed in the Cloud or On-Premise) designed for businesses seeking scalability, compliance, and simplified data retention without the overhead of on-premises infrastructure. Built for MS Office 365 and cloud-first organizations, Advanced Archive 1.0ch is ideal for companies looking to divest IT infrastructure (no on-premise MS Exchange server is required) reduce IT maintenance, automate compliance, and enable fast eDiscovery across distributed teams. Key Features & Benefits 1. Cloud-Native, Fully Hosted Capabilities ● No On-Prem Hardware Needed – Eliminates the cost and complexity of maintaining in-house servers. ● Built for Office 365 – Integrates seamlessly with cloud email environments, offering instant scalability. ● No Exchange Server Required – Unlike 1.0e, 1.0ch does not require a hybrid Exchange setup, simplifying deployment for both Cloud and On-Premise archives. 2. Cost-Efficient Subscription Model ● Pay-As-You-Go Pricing – Subscription-based model offers predictable costs. ● Lower Upfront Investment – No significant capital expenses on hardware. ● Scales With Your Business – Expand storage capacity as data volumes increase. 3. Simplified eDiscovery & Compliance ● Clientless, Web-Based Access – Users can perform legal searches and manage compliance via a browser-based interface. ● Automated Policy-Based Archiving – Ensures compliance with industry regulations without manual intervention. 4. Streamlined Administration & User Experience ● No Mailbox Crawling Required – Automatically maps mailboxes to users for effortless management. ● Search & Retrieve from Anywhere – Access data from any device, eliminating dependency on MS Outlook plugins. ● IT Management Simplified – No need for dedicated IT staff to oversee infrastructure, as the hosted, cloud solution is fully managed. Page 35 UGA MarketPlace

Technical Advantages Feature Benefit SMTP-Based Archiving Simple email ingestion without requiring Exchange journaling. No On-Prem Exchange Server Integrates seamlessly with O365 and other email platforms. Web-Based Management Reduces IT workload; accessible from any device. Scalable Cloud Storage Expand as needed without hardware constraints. Security Certifications SOC2, ISO 27001-compliant for regulatory assurance. Ideal Use Cases ● Organizations Moving to the Cloud – No reliance on on-prem Exchange servers. ● Enterprises with Large User Bases – Easy, scalable deployment across multiple offices and locations. ● Legal & Compliance Teams – Need instant access to archived data for legal discovery. ● Businesses Seeking Cost-Effective Compliance – Subscription model reduces capital expenditures. Deployment & Pricing ● Subscription-Based Model – Pay-as-you-go for lower upfront costs. ● Fully Managed Solution – No IT maintenance required; updates handled by the provider. ● Scalable Data Storage – Expand seamlessly based on business needs. Why Choose Advanced Archive 1.0ch? ● Zero maintenance burden – Fully cloud-hosted option, removing IT overhead. ● Seamless O365 integration – Ideal for businesses shifting to a cloud-first strategy. ● Web-based access – No software installation required for end-users. ● Cost-effective scalability – Grows with your business, with no limits on users or storage. For organizations seeking a cloud-first, easy-to-deploy, and highly scalable archiving solution, Advanced Archive 1.0ch is the perfect fit. Page 36 UGA MarketPlace

Data Guardian Solutions I Data Drop Streamlining Legal Discovery and Data Sharing with Data Drop In today's fast-paced legal and regulatory environment, managing data transfer and collaboration efficiently is crucial. Traditional methods often involve complexities, delays, and potential security vulnerabilities. Addressing these challenges, Data Drop, a component of Data Guardian Solutions, revolutionizes data transfer, file synchronization, and sharing, offering a comprehensive, secure, and scalable solution. Key Features of Data Drop ● Simplified Workflows Eliminates redundant steps such as manual file exports and unreliable transfer tools. ● Secure File Sharing Advanced security features ensure compliance with legal and regulatory standards. ● Centralized Management Consolidates Discovery and compliance documents into one organized repository. ● Seamless Integration Integrates with Discovery applications and enterprise tools to enhance productivity. Efficient Data Transfer Data Drop simplifies the data transfer process by removing convoluted steps like searching and exporting, thereby saving valuable time and effort for legal teams. It offers a secure and user-friendly experience, comparable to consumer-grade tools like Dropbox, but with enhanced security features and activity tracking. Enhanced Collaboration and Communication The platform fosters seamless collaboration among internal teams and external stakeholders. Data Drop's integration with Discovery applications streamlines workflows, reduces manual efforts, and boosts productivity. Advanced Functionality and Control Compared to platforms like Dropbox, Data Drop stands out due to its control and flexibility, integration with Advanced Archive, advanced functionality, enhanced security, compliance features, scalability, and storage capacity. Transform Your Legal Workflows Data Drop is more than just a file-sharing tool; it’s a strategic solution tailored to the unique demands of legal discovery and compliance. Focused on security, efficiency, and collaboration, it empowers legal teams to work smarter, faster, and more securely. Page 37 UGA MarketPlace

Data Guardian Solutions I Cloud Express Supervisor Cloud Express Supervisor Zantaz’s Cloud Supervisor Express is a leading communications monitoring solution for compliance officers and HR organizations. It ensures compliance with stringent regulatory standards, including SEC Rule 204-2, 17a-3 & 17a-4, FINRA 3110, IIROC Rule 29.7, and FDA, through an intelligent, automated, and user-friendly platform. Key Features and Benefits ● Comprehensive Monitoring Supports a wide range of communication channels, including email, Microsoft Teams, and Bloomberg. Easily adaptable to add new communication channels as needed. ● Intuitive Interface Simplifies the review process with a user-friendly design, to reduce operational complexity. Provides customizable dashboards, reports, and policies for real-time insights. ● Robust Audit Trail Maintains detailed, immutable supervisory audit trails to demonstrate compliance and proactively prevent violations. ● Flexible Configurations Customizable to monitor specific languages, behaviors, or activities. Supports industry- standard compliance lists, custom profiles, and random sampling for SEC & FINRA regulations. ● Identity Consistency Retains user identity across all supervised communication channels, ensuring accurate monitoring and reporting. ● Advanced Search and Review Tools Enables rapid search, sampling, review, and export of data for streamlined compliance workflows. Offers purpose-built data workflows tailored to search and review roles. Universal Applications Cloud Supervisor Express is a cutting-edge compliance and risk management solution designed to meet the needs of highly regulated industries such as financial, legal, and healthcare industries. With its robust capabilities, it also supports unregulated industries seeking to safeguard their operations. Risk Mitigation and Policy Enforcement The platform monitors, captures, and analyzes employee communications to proactively identify and flag potential violations. This helps organizations limit liability, ensure proper conduct, and protect their reputation. ● Aids in reputation management, risk mitigation, customer satisfaction, and HR needs [e.g., bias alerts]. ● Automates sanctions compliance with integration to official lists like OFAC. ● Ensures corporate communication meets regulatory and organizational standards. Proactive Compliance Leveraging a proprietary lexicon and predefined policies, the platform proactively identifies issues early and flags content for review. This ensures adherence to SEC, FINRA, MiFID II, and other regulations while preventing financial crimes or misconduct to safeguard reputation and limit liability. Page 38 UGA MarketPlace

Data Guardian Solutions I Data Connect 1.0 Data Connect 1.0 ETL and Seamless Data Migration Toolkit Zantaz’s Data Connect empowers organizations to efficiently manage, transform, and migrate data while maintaining compliance and operational efficiency. Whether transitioning from legacy systems or handling modern communication platforms, Data Connect is the all-in-one solution for seamless ETL and migration. Zantaz’s Data Connect is an advanced ETL (Extract, Transform, Load) and migration platform designed to streamline data integration, transformation, and migration across various sources and destinations. With seamless compatibility for modern and legacy systems, Data Connect ensures efficient handling of unstructured data, emails, instant messages, and file-based content. Key Capabilities 1. Extensive Data Connectivity ● Azure Blob Storage Supports scalable cloud storage for unstructured data with output capabilities, including original content retention, file path preservation, and metadata generation in JSON format. ● File System Enables file discovery and processing from local drives or network shares, retaining file paths and generating metadata. ● Microsoft SharePoint & Teams Leverages Microsoft Graph API to handle collaboration and communication data. Includes advanced metadata transformation into JSON or HTML. ● Skype for Business, Yammer, & Zoom Captures messages, files, and chat data for compliance and archiving purposes. ● SMTP Transforms communication data (e.g., Microsoft Teams chats) into HTML for secure email delivery. 2. Migration Suite for Legacy Systems ● Enterprise Vault, EAS, NearPoint, & Commvault Simpana Extracts and archives emails, leveraging APIs or SDKs for increased throughput and seamless migration to user archive mailboxes. ● PST File Management Provides efficient PST splitting to optimize data storage. ● Exchange Server & Archive Supports email archiving, retention, and mapping to archive mailboxes, ensuring compliance and eDiscovery readiness. Page 39 UGA MarketPlace

3. Metadata Enrichment and Compliance Support Data Connect ensures compliance with regulatory standards, generating metadata in JSON format to reflect input details and enabling data transformations for compliance and discovery needs. Integration with official lists, like OFAC, further automates compliance processes. Why Choose Data Connect? ● Scalable and Versatile Handles diverse data types, from emails to files and instant messages, across cloud, local, and hybrid environments. ● Seamless Integration Leverages APIs and SDKs for efficient data processing, retention, and migration. ● Regulatory Compliance Ensures adherence to industry standards for data handling, archiving, and eDiscovery. Page 40 UGA MarketPlace

Data Guardian Solutions I Powered by PremCloud Powered by PremCloud Powered by PremCloud is responsible for activating and providing ongoing support to our customer revenue stream from beginning to end. It is Powered by PremCloud’s main objective to ensure that all of our Ai Data Companion are effectively implemented and that they are operating at their maximum performance capabilities for all our customers. Ultimately, optimal functionality for our customers is essential to our success. Powered by PremCloud provides the resources required for our customers to effectively and securely manage their most valuable asset - their data. When it comes to providing our world-class solutions and services, the deciding factor in their efficacy relies on the contribution of our Powered by PremCloud team. The Powered by PremCloud team answers the call for all of our customer needs with a speed to performance that exceeds all industry standards. Powered by PremCloud Services a. Solution Engineering b. Pre-Sales Technical Support c. Professional Services [Implementation] d. Support & Maintenance e. Managed Services f. Hosting Services Our Powered by PremCloud team will also perform migrations, project-based software deployment, and custom consulting engagements for our customers around the globe, while our new hybrid Powered by PremCloud solutions will provide our customers with a fully secure, fully managed environment for all their data archive, data governance, and data analytic needs across multiple deployment options worldwide. Future Opportunity Powered by PremCloud is a resource for more than just our solutions. Any software solution or Saas can be Powered by PremCloud and benefit from our adaptive hosting, security, and services. Powered by PremCloud can transform almost any on-premise software into a SaaS Powered by PremCloud. Powered by PremCloud can also provide our adaptive hosting to data centers looking to provide their customers with more than just space or capacity. Page 41 UGA MarketPlace

Zantaz Data Resources I Staff Profiles The success of Zantaz Data Resources is directly tied to the caliber of the business and technical leadership of our Zantaz Data Resources Executive Team. Will, Dan, Jack, Ali, and Vincent are seasoned professionals with experience providing high-performance cloud computing infrastructure IT-managed services in enterprise archiving, eDiscovery, and data governance engagements. Will White, President Will is the President of Zantaz Data Resources, leading the company's strategic direction focusing on enterprise data management, governance, eDiscovery, and archiving. With over eight years of experience in the enterprise archiving space, Will has successfully guided clients across diverse industries [including healthcare, BFSI, legal, and manufacturing] in selecting and implementing data management solutions. Will is passionate about helping organizations leverage their data assets to drive growth and innovation. He holds a Global MBA from Case Western Reserve University, which enhances his ability to drive innovation and deliver exceptional results in a global business context. Looking ahead, he aims to position Zantaz Data Resources at the forefront of AI-infused data management solutions, helping clients navigate the increasingly complex data landscape of the future. Dan Burgio, Chief Account Director Dan is the Chief Account Director at Zantaz Data Resources, overseeing the customer base and Account Executive team. With over 15 years of experience across sustainability, ESG, and corporate real estate, Dan is a key player in helping organizations optimize data practices while minimizing environmental impact. Dan’s background in corporate real estate from his tenure at HSBC, combined with extensive ESG consulting experience, offers a unique perspective that bridges physical infrastructure, digital assets, and sustainable business practices. He has successfully developed ESG programs, conducted materiality assessments, and aligned reporting with global standards such as GRI, TCFD, SASB, and CDP, ensuring compliance with complex regulatory environments. Dan holds a Master of Laws [LLM] in Sustainable Development from the Università degli Studi di Milano, a Bachelor of Science in Environmental Science from Allegheny College, and has completed a Corporate Sustainability Management program at the Yale School of Management. Page 42 UGA MarketPlace

Jonathan Gilmartin, Chief Products Officer As the Chief Product Officer at UGA, I am dedicated to leading the development of innovative, market-leading products that deliver exceptional value to our customers. My objective is to ensure our proprietary solutions are equipped with cutting-edge features and capabilities while prioritizing seamless user experiences. By aligning product strategy with customer needs, I strive to create products that not only meet market demands but also set new industry standards. With over 17 years of experience in senior IT roles across industries such as finance, automotive, logistics, retail, and travel, I bring a wealth of technical expertise and strategic insight to the UGA leadership team. Jack Boswell, Resouyrce Manager Jack is our Resource Manager at UGA MarketPlace, where he excels in customer relationship management. In his role, Jack is responsible for developing and implementing account strategies, as well as leading social media and business development initiatives to enhance brand awareness and drive growth. Before joining UGA, Jack gained valuable experience as a Business Administration Representative at The Advantage Co. His expertise in digital marketing, social media, business analysis, and strategic communication through roles at Total Sports Enterprises and Craftmix has provided him with a strong foundation in marketing and sales. Jack holds a Bachelor of Business Administration [BBA] in Business Administration and Management from the University at Buffalo School of Management, where he was an active member of the UB Equity Research Group and UB DECA. He is currently pursuing his Master of Business Administration [MBA] at the same institution. Ali Saadat, Account Executive Ali Sadaat is an accomplished Account Executive with over a decade of experience in enterprise sales, business development, and client management. Currently, he serves as an Account Executive at Zantaz Data Resources, where he leverages his extensive background in AI-driven solutions and complex sales processes. His career spans multiple industries, including FinTech, SaaS, and AI-enabled technologies, focusing on driving digital transformation, enhancing customer experiences, and exceeding sales goals. Page 43 UGA MarketPlace

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UGA MarketPlace I Ai Data Agent Agreement This engagement letter confirms the agreement between UGA MarketPlace and __________________ ["Agent"] regarding the Agent’s engagement as an independent contractor to represent Ai Data Companion. 1. Provider Authorization William White is the President of Ai Data Companion and is fully authorized by Ai Data Companion to enter into this agreement with the Agent as an Authorized Representative. Ai Data Companion is independently responsible for its Agent relationship, authorization, and compensation. 2. Engagement Scope The Agent is engaged in identifying and introducing potential resellers and customers to Ai Data Companion, negotiating on Ai Data Companion' behalf under its direction, and assisting in the transaction process leading to an engagement. 3. Authorization to Represent Before any authorized presentation or negotiation, all of an Agent’s potential resellers and customers must be submitted for approval by Ai Data Companion. 4. Data Optimization License Fee Commissions For a $1k/TeraByte SaaS License, a $500K Annual On-Premise Unlimited Usage License, or $1.5M Four-Year On-Premise License, the Agent will earn commissions based on their role, which may be classified as Referral Agent, Sales Agent, or Teaming Partner. Referral Agents at Level 1 are entitled to a 10% commission for providing a warm introduction to a prospective Data Optimization customer. Referral Agents at Level 2 earn a 5% commission. Sales Agents at Level 1 earn a 20% commission for providing a warm introduction and participating in closing the sale, with an additional 5% renewal commission for maintaining engagement throughout the license period. Sales Agents at Level 2 earn a 5% commission. Teaming Partners at Level 1 earn a 30% commission for providing a warm introduction, participating in closing the sale, and conducting all presentations. Teaming Partners are also eligible for a 10% renewal commission. Teaming Partners at Level 2 earn 7.5%, while those at Level 3 earn 2.5%. License Renewal Commissions are 10% for Level 1 Agents, 3% for Level 2, and 1% for Level 3, provided the Agent is actively engaged in the promotion, presentation, and sale of Data Optimization. Note: In all cases, the Agent must remain actively engaged in the promotion, presentation, and sale of Data Optimization. For clarity’s sake, to remain an Agent in good standing and eligible for any commissions, an Agent must present Ai Smart Data to at least one viable potential customer per quarter. Additionally, to remain an Agent in good standing and eligible for any renewal commissions, an Agent must remain actively engaged with the satisfaction of the account throughout the license period. For clarity’s sake, to remain an Agent in good standing and eligible for any renewal commissions, an Agent must report on the active account at least once per quarter. Page 47 UGA MarketPlace

5. Term and Termination This agreement is effective from January 1, 2025, and will continue until December 31, 2025. Either party may terminate this agreement with 30 days written notice to the other party, provided, however, that the commission obligations to the Agent under section 2 will survive any termination with respect to introductions made or transactions initiated prior to termination. 6. Confidentiality The Agent agrees to maintain the confidentiality of all proprietary and non-public information disclosed during the term of this engagement and to not use such information for any purpose other than the services provided under this agreement. 7. Independent Contractor It is understood that the Agent is an independent contractor and not an employee, partner, or co-venturer of UGA MarketPlace or Ai Data Companion. The Agent is responsible for all taxes, insurance, and other obligations arising from payments received under this agreement. 8. Indemnification and Limitation of Liability Each party agrees to indemnify, defend, and hold harmless the other parties against any claims, losses, damages, or liabilities directly arising out of or in connection with any misleading information or misrepresentation regarding the business's revenue, earnings, or valuation provided to third parties, including potential buyers or investors. This indemnification does not apply to any information provided in good faith based on reasonable assumptions and industry standards. It is acknowledged that projections and forecasts inherently contain uncertainties, and all parties commit to act in good faith when presenting such information. This clause ensures that parties are protected against unfounded claims and are encouraged to maintain integrity and transparency in their communications. 9. Governing Law This agreement shall be governed by the laws of New York State, without regard to its conflict of laws principles. 10. Entire Agreement This letter constitutes the entire agreement between the parties with respect to the subject matter hereof and supersedes all prior agreements, understandings, negotiations, and discussions, whether oral or written. Sincerely, Acknowledged and Agreed ________________________ _________________________________ William White Agent Name President, Ai Data Companion Date: ____________________ Page 48 UGA MarketPlace

Data Optimization 2.0 I License Agreement Ai Data Companion’ Data Optimization 2.0 License Agreement [“Agreement”] is made and entered into as of _______________ [“Agreement Date”] by and between Ai Data Companion LLC, with a principal place of business at 5110 Main St Williamsville, NY 14221 [“Ai Data Companion”], and _____________________ [“Customer”], with a principal place of business at ________________________________ [Address]. Whereas, Ai Data Companion is the owner of all rights, titles, and interests in the data solution product known as Data Optimization 2.0. Whereas, Customer desires to use Data Optimization 2.0, and Ai Data Companion desires to grant Customer a one-year annually renewable license for Data Optimization 2.0 under the terms and conditions set forth in this Agreement. Now, therefore, in consideration of the foregoing premises and the mutual covenants contained herein, the parties agree as follows: 1. Grant of Data Optimization 2.0 License Ai Data Companion hereby grants to Customer, and Customer hereby accepts, a non-exclusive, non-transferable, non-sublicensable annually renewable one-year license for unlimited usage of Data Optimization 2.0 solely for the purposes outlined in this Agreement. 2. Payment Schedule Customer agrees to pay Ai Data Companion $500,000 [“five hundred thousand dollars”] for the unlimited use of an On-Premise deployment of Data Optimization 2.0 for one year. There are two payments: a. First Payment of $250,000 [“two hundred fifty thousand dollars”] is due within 30 days of the Agreement Date stated above; and b. Second Payment of $250,000 [“two hundred fifty thousand dollars”], less any credit, is due within 30 days of the Activation Date. 3. Activation Date The Activation Date is established by the full deployment of Data Optimization 2.0 as determined by Ai Data Companion. The Activation Date is the actual start of the one-year term of the Data Optimization 2.0 License. For example, if the Agreement Date is February 1, 2025, and the Activation Date is determined to be March 10, 2025, the one-year term of the license will be from March 10, 2025, to March 9, 2026. 4. Restrictions Customer agrees not to: ● Rent, lease, sublicense, distribute, resell, lend, or commercially exploit Data Optimization 2.0. ● Reverse engineer, decompile, disassemble, or modify the Data Optimization 2.0 software in any way. ● Remove or obscure any proprietary notices or markings on Data Optimization 2.0. ● Use Data Optimization 2.0 in any manner that infringes upon any Intellectual Property rights. Page 49 UGA MarketPlace

5. Term and Termination This One-Year Agreement shall commence on the Effective Date and shall continue for a period of one year from the Activation Date unless earlier terminated as provided herein. This Agreement may be terminated by either party upon written notice to the other party upon the occurrence of any of the following events: a. A material breach of this Agreement by the other party that is not cured within thirty [30] days after written notice of such breach. b. Bankruptcy, insolvency, or dissolution of the other party. c. Ceased development or support of Data Optimization 2.0 by Ai Data Companion. 6. Effect of Termination Upon termination of this Agreement for any reason, all rights granted to Customer under this Agreement shall immediately cease. Customer’s obligations shall survive the termination of this Agreement. Customer shall promptly: a. Return to Ai Data Companion all copies of the Data Optimization 2.0 software in its possession or control, including all copies installed on any computers, servers, or other devices and all copies stored on any media, whether electronic or physical. b. Destroy any copies of the Data Optimization 2.0 software that cannot be returned to Ai Data Companion. c. Certify in writing to Ai Data Companion that it has complied with the foregoing obligations. d. Cease all use of Data Optimization 2.0. 7. Limitation of Liability To the fullest extent permitted by law, Ai Data Companion’s liability for any claims arising from this Agreement shall be limited to the amount Customer paid for the services in the last three months. Ai Data Companion is not liable for any indirect, incidental, or consequential damages. 8. Ownership Ai Data Companion retains all rights, titles, and interests in and to Data Optimization 2.0 and all copies thereof, including all intellectual property rights embodied therein. All content, features, and functionality of Ai Data Companion’s services, including but not limited to text, graphics, logos, and software, are the exclusive property of Ai Data Companion LLC and are protected by applicable intellectual property laws. 9. Governing Law and Venue This Agreement shall be governed by and construed in accordance with the laws of the State of New York, without regard to its conflict of laws provisions. The parties further agree that any legal action or proceeding arising out of or relating to this Agreement shall be brought exclusively in the courts of the County of Erie, New York. 10. Entire Agreement This Agreement constitutes the entire Agreement between Ai Data Companion and Customer with respect to the subject matter hereof and supersedes all prior or contemporaneous communications, representations, or Agreements, whether oral or written. 11. Severability If any provision of this Agreement is held to be invalid or unenforceable, such provision shall be struck, and the remaining provisions shall remain in full force and effect. Page 50 UGA MarketPlace

12. Notices All notices and other communications hereunder shall be in writing and shall be deemed to have been duly given when delivered in person, upon receipt of facsimile transmission, or five [5] days after being sent by certified or registered mail, postage prepaid, return receipt requested. All such notices sent by certified or registered mail shall be addressed to the parties at the following addresses: Ai Data Companion LLC Attn: Legal Department 5110 Main St. Williamsville, NY 14221 [Licensee Address and Contact] 13. Waiver No waiver of any provision of this Agreement shall be effective unless in writing and signed by both parties. No waiver of any breach of any provision of this Agreement shall be deemed a waiver of any subsequent breach. In Witness Whereof, the parties have executed this Data Optimization 2.0 License Agreement, which is effective as of the Agreement Date. Ai Data Companion ________________________________________ _________________ By: Date Customer ________________________________________ _________________ By: [Authorized Representative Name] Date Title: [Authorized Representative Title] Page 51 UGA MarketPlace

UGA MarketPlace I White-Label Reseller License This Agreement ["Agreement"] is entered into as of this ____ day of __________, 2025 [the "Effective Date"], by and between Ai Data Companion, a New York limited liability company, with its principal place of business at [Ai Data Companion Address]; and [Reseller Name] ["Reseller"], a [Reseller Entity Type], with its principal place of business at [Reseller Address]. Whereas, Ai Data Companion wishes to establish its Data Optimization White-Label Program as a business resource that provides comprehensive access to exceptional Ai Data Companion resources, products, and services [“Offerings”] for authorized Resellers worldwide. Whereas, Resellers have existing relationships as a trusted provider within their market. Leveraging these relationships will enable the Reseller to sell Ai Data Companion Offerings, which in turn will strengthen Resellers' customer relationships and provide additional earnings. Whereas, Resellers are responsible for cultivating opportunities through their existing network. 1. Background Ai Data Companion provides the Data Optimization Processing platform ["Data Optimization"], an advanced AI-driven data analytics, visualization, and reporting solution. Reseller seeks to market and resell Data Optimization under its own brand and trademark to approved Customers. 2. Appointment as Reseller 2.1. Ai Data Companion appoints Reseller as a non-exclusive reseller for Data Optimization in the Designated Territory. 2.2. The Designated Territory is [ ]. 2.3. Reseller may market, promote, and resell Data Optimization solely to approved Customers. 2.4. Reseller may not sublicense, distribute, authorize, or appoint any dealers, sub-resellers, agents, representatives, subcontractors, or other third parties to advertise, promote, resell, or distribute Ai Data Companion Offerings without prior written consent from Ai Data Companion. 2.5. Ai Data Companion reserves the right to modify, update, or discontinue Data Optimization with reasonable notice to Reseller. 3. White-Label Branding 3.1. Reseller may rebrand Data Optimization using its company name, logo, and marketing materials. 3.2. Reseller must disclose to Customers that Ai Data Companion provides the underlying technology, delivery, deployment, and support. 3.3. Reseller shall not use Ai Data Companion’s name or trademarks without prior written approval, except for disclosures required under this Agreement. 4. License Grant 4.1. The license term is five [5] years from the Effective Date. 4.2. Reseller shall pay a license fee of $500,000 [five hundred thousand dollars] for the four-year term, due upon execution of this Agreement. Page 52 UGA MarketPlace

5. Eligibility 5.1. In order to be eligible for the payment of any Commission hereunder for a Customer provided to Ai Data Companion, the Reseller’s Customer engagement may not be with any current Customer of Ai Data Companion or Customer that Ai Data Companion is currently soliciting. 6. Lead Registration 6.1. As and when a Customer is identified, Reseller must submit to Ai Data Companion a completed Customer Registration Form, a specimen copy of which is attached hereto as Exhibit A [or in another form, including email, containing substantially the same information]. Upon receiving the Customer Registration Form, Ai Data Companion shall, within five [5] business days, either accept or reject the Customer being offered. 6.2. No Customer will be deemed accepted in the absence of a counter-signature on the Customer Registration Form. 6.3. Ai Data Companion reserves, in its sole and absolute discretion, the ability to accept or reject any proffered Customer, and the Parties hereby acknowledge that Ai Data Companion shall only accept those Customers where Ai Data Companion’s products and/or services can be reasonably and successfully provided. 6.4. If a Customer Registration Form is accepted, the Reseller will follow up the introduction by such means and in such manner, as it deems appropriate, at its sole cost and expense. 6.5. Once a Customer has been accepted, Reseller shall have the exclusive right to pursue the Customer for a period of one [1] year from Ai Data Companion’s acceptance of the Customer pursuant to the Customer solicitation being ongoing and effective as determined by Ai Data Companion. 7. Commissions Reseller will receive: 7.1. 50% commission on the license fee for each new $500k Data Optimization One-Year On-Premise License sold and paid in full. 7.2. 20% commission on renewals of existing licenses paid in full. 7.3. Ai Data Companion shall pay commissions within 15 business days of receiving full payment from the Reseller’s Customer or the Reseller. 8. Customer Agreements 8.1. Reseller may resell and charge Customers for Ai Data Companion Offerings at prices determined in Reseller's sole discretion but at no time less than Ai Data Companion’s Minimum Acceptable Price. 8.2. Reseller acknowledges that Ai Data Companion has the right, at any time, to modify any or all of the Ai Data Companion Offerings and Minimum Acceptable Price. 8.3. Reseller shall enter into agreements provided by v with Customers for the rebranded Data Optimization, ensuring compliance with this Agreement. 8.4. Reseller is responsible for all Customer payments. 8.5. Customer agreements must protect Ai Data Companion's intellectual property and proprietary rights. 8.6. Reseller shall provide Ai Data Companion with executed copies of Customer agreements. 9. Support and Maintenance Page 53 UGA MarketPlace

9.1. The relationship between the Reseller’s Customer and Ai Data Companion shall be as specified in the applicable Ai Data Companion end-user license agreement. Notwithstanding the foregoing, as between Ai Data Companion and Reseller, Reseller shall be solely responsible for responding to written and oral requests for technical assistance and using best efforts to diagnose and solve the problems presented by Reseller’s Customers. 9.2. Reseller shall provide first-line support to Customers, including responding to basic inquiries and escalating complex issues to Ai Data Companion. 9.3. Ai Data Companion shall provide technical support, updates, bug fixes, and maintenance for all Ai Data Companion Offerings. 9.4. Ai Data Companion will train and equip Reseller with necessary resources to facilitate first-line support. 9.5. Ai Data Companion will remain fully responsible for the delivery and fulfillment of all Ai Data Companion Offerings agreed to with the Customer in the authorized Statement of Work. 10. Marketing and Promotion 10.1. Reseller is solely responsible for marketing and promoting Data Optimization under its rebranded name. 10.2. Reseller shall adhere to all applicable laws and avoid false or misleading statements in marketing materials. 10.3. All marketing materials require Ai Data Companion's prior approval. 11. Data Security and Privacy 11.1. Reseller must comply with all applicable data protection laws and ensure adequate safeguards for Customer data. 11.2. Reseller shall promptly notify Ai Data Companion of any suspected data breaches. 12. Intellectual Property 12.1. Ai Data Companion retains all intellectual property rights to its Offerings, including, but not limited to, Data Optimization. 12.2. Reseller’s rights are limited to those granted explicitly in this Agreement. 12.3. Reseller shall not modify, reverse engineer, decompile, or disassemble Data Optimization or any Ai Data Companion Offerings. 13. Term and Termination 13.1. This Agreement shall remain in effect for four [4] years unless terminated earlier. 13.2. Either party may terminate for material breach, insolvency, or bankruptcy of the other party. 13.3. Upon termination, Reseller shall cease all marketing and sales activities and return or destroy all related materials. 14. Disclaimer of Warranties 14.1. Ai Data Companion warrants that Data Optimization and all Ai Data Companion Offerings will perform as described in the documentation for 30 days after delivery. 15. Limitation of Liability 15.1. Ai Data Companion shall not be liable for indirect, incidental, or consequential damages. 15.2. Ai Data Companion's total liability under this Agreement shall not exceed the license fees paid by Reseller in the 12 months preceding the claim. Page 54 UGA MarketPlace

16. Indemnification Reseller shall indemnify and defend Ai Data Companion against claims arising from: 16.1. Reseller's breach of this Agreement; 16.2. Reseller's negligence or misconduct; 16.3. Claims by Customers regarding the rebranded Data Optimization or any Ai Data Companion Offering. 17. Relationship of the Parties Ai Data Companion and Reseller are independent contractors and shall not bind or obligate each other. 18. Assignment 18.1. Reseller may not assign this Agreement without prior written consent from Ai Data Companion. 18.2. Ai Data Companion may assign this Agreement to an affiliate or as part of a corporate transaction. 19. Governing Law This Agreement is governed by the laws of the State of New York, excluding its conflicts of law principles. 20. Entire Agreement This Agreement constitutes the entire understanding between the parties and supersedes all prior agreements. In witness whereof, the parties hereto have executed this Agreement as of the date set forth above. Ai Data Companion [Reseller Name] By: _____________________________ By: _____________________________ Name: __________________________ Name: __________________________ Title: ___________________________ Title: ___________________________ Exhibit A: Customer Approval Form A Customer approval request must be completed and approved before the Customer is solicited. Application submitted by or on behalf of: [Name/Title] Phone: Fax: Email: Customer Information: Company Name: Page 55 UGA MarketPlace

Address: E-Mail Address: Zantaz Product[s]: Projected Services: ____ Accepted ____ Rejected Page 56 UGA MarketPlace

Is Data Optimization the Answer to the Artificial Intelligence Conundrum? The Artificial Review by Chad Walker February 25, 2024 As the rush to adopt Artificial Intelligence [AI] explodes in every aspect of our daily lives, organizations are struggling to manage the ever-growing complexities of data and AI within their operations. Organizations are challenged to focus on responsible AI implementation as well as harnessing the full potential of their data assets [while adhering to ethical standards and regulatory requirements]. As organizations plow billions into the AI gold rush, few are able to maximize, profitize, and manage the promise of AI. This gold rush has turned into an expensive, risk-filled, and often ill-fated exploitation of machine learning. What is needed is a comprehensive system that addresses the many challenges and opportunities presented by the rapidly expanding volumes of data, especially unstructured and Dark Data, that businesses encounter today. Ai Data Companion’s ownership is best known for being the first to acquire the FedRAMP ATO and, as an HP resource [that helped to enable HP’s escape from the ill-fated Autonomy acquisition], has created an approach to AI management based on Ai Data Companion’s well-respected prowess in global data archiving. Ai Data Companion is pitching a path forward that balances the technological advancements of AI with the need for responsible, ethical, and effective Data Management. As such, it represents a potentially critical resource for any organization looking to thrive in the era of big data and artificial intelligence. Ai Data Companion is being touted not as just an advanced toolset but a paradigm shift in how organizations approach the intersection of AI, data, and governance. Here is our review after an up-close first look at this new solution. The Artificial Review of Ai Data Companion To its credit, Data Optimization stands as a pioneering approach in the landscape of AI and Data Management, offering a holistic suite of tools and methodologies to ensure the responsible, ethical, and efficient use of AI within organizations. Page 57 UGA MarketPlace

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At the heart of Data Optimization is the emphasis on leveraging AI not only as a tool for operational enhancement but also as a fundamental pillar for fostering a culture of data literacy, quality, analysis, and strategic decision-making. Data Optimization For starters, Data Optimization can be utilized with either a universal SaaS or on-premise deployment of its AI-driven capabilities [allowing for rapid and seamless integration with existing systems]. As an agnostic set of tools, it offers advanced control over data estates, effectively managing Dark Data with its revolutionary Data Insight tool and transforming any current data storage challenge into a modern, smart system. Kubernetes Clusters The use of Kubernetes in its Data Optimization systems provides organizations with easy automation and management capabilities. Kubernetes Clusters enable efficient deployment, scaling, and management of containerized applications, streamlining data ingestion, storage, access, and backup and recovery processes. Its high availability, scalability, and ease of management empower organizations to handle data access, storage, retention, disposal, and archiving tasks effectively and efficiently within legacy environments. Key Features and Benefits 1. Holistic Data Understanding: Data Optimization provides an overarching view of an organization’s data landscape, enabling deep insights into data structures, usage patterns, and potential risks. This understanding is crucial for identifying areas where AI can be most effectively applied. 2. Bias Detection and Mitigation: Through advanced AI algorithms, the system identifies biases in data and AI models, ensuring fairness and representativeness in AI outputs. This is vital for ethical AI practices and for building trust among stakeholders. 3. Data Quality Assurance: Data Optimization employs AI to continuously monitor and enhance the quality of data, ensuring accuracy, completeness, and reliability. High-quality data is the backbone of effective decision-making and AI performance. 4. Adaptability and Compliance: The system is designed to adapt to evolving Data Management laws and regulations, ensuring compliance and reducing the risk of legal and reputational damage. 5. Security and Privacy: With a strong focus on data security and privacy, Data Optimization protects sensitive information from unauthorized access and breaches in alignment with global standards like GDPR and CCPA. 6. Cost Optimization and Efficiency: By automating Data Management tasks, such as deduplication and re-tiering of storage, Data Optimization significantly reduces storage needs and costs while enhancing operational efficiency. 7. Future-proofing and Innovation: The platform enables organizations to stay ahead of the curve by facilitating the adoption of modern Data Management practices, turning legacy systems into smart archives, and unlocking the potential for innovation. Page 59 UGA MarketPlace

Data Insight: The Core Tool At the core of Data Optimization’s offering is Data Insight, a tool that epitomizes the system’s advanced capabilities. It features an innovative approach that deeply integrates AI with data scanning processes to provide unprecedented insights into data sets. Data Insight appears capable of rapidly interrogating extensive volumes of data, including sensitive information, thus facilitating secure data movement and modernized data storage. As a next-generation solution, Data Optimization could not only help in optimizing data storage and reducing expenses but also play a significant role in achieving regulatory compliance and unlocking the inherent value of data assets. Capabilities of Data Insight ● Advanced Data Management: Utilizes AI for deep analysis, identifying risks, and gaining insights from massive volumes of unstructured and Dark Data. ● Sensitive Information Identification: Capable of detecting PII, PHI, and PCI data, ensuring compliance and securing data throughout its lifecycle. ● Data Classification and Profiling: Offers targeted analysis to understand data content, profile data, and ensure its proper management and protection. Effectiveness of the Ai Data Detect The effectiveness of Data Optimization lies in its ability to marry the capabilities of its Ai Data Detect with the nuances of human judgment and expertise, creating a synergistic approach to Data Management. This method ensures not only the technical management of data but also its ethical, legal, and strategic use. Organizations benefit from reduced risks, optimized costs, and enhanced decision-making capabilities, all while fostering a culture of innovation and responsible AI use. The continuous evolution of AI and data landscapes necessitates a dynamic and forward-thinking approach to Data Management. Data Optimization, with its innovative tools and methodologies, not only meets this demand but also sets a new standard for how organizations should approach the integration of AI into their Data Management practices. By focusing on the entire lifecycle of data—from collection to deletion—it ensures that data is not only used efficiently but also responsibly, aligning with the broader goals of ethical AI use and sustainable digital practices. Data Literacy and Strategic Thinking A standout aspect of Data Optimization is its commitment to enhancing data literacy across organizations. By making data more understandable and accessible, it empowers all stakeholders, not just data scientists or IT professionals, to engage with data insights and contribute to data-driven decision-making processes. This democratization of data is crucial for fostering a culture where strategic thinking and data insights go hand in hand, leading to more informed and innovative outcomes. Technology Proficiency and Data Analysis The proficiency in technology, particularly in AI and machine learning algorithms, underpins the analytical capabilities of Data Optimization. By leveraging cutting-edge technologies, it enables organizations to dissect and analyze data at scale, identifying Page 60 UGA MarketPlace

trends, risks, and opportunities that would be impossible to detect manually. This analytical prowess is essential for turning vast data repositories into actionable insights that can drive strategic business decisions. Sustainability and Ethical Considerations In today’s digital economy, the sustainability and ethical use of AI and data are becoming increasingly important. Data Optimization addresses these concerns head-on by implementing strategies that reduce the environmental impact of AI operations and ensuring that data and AI models are used in ways that respect human rights and societal values. This commitment to sustainability and ethics not only mitigates risks but also enhances the reputation and trustworthiness of organizations in the eyes of consumers, regulators, and partners. Challenges and Opportunities While Data Optimization offers a comprehensive solution to many challenges associated with AI and Data Management, organizations must be prepared to navigate the complexities of implementation, including integrating these tools into existing systems, training staff, and ensuring ongoing compliance with evolving regulations. However, these challenges are outweighed by the opportunities that effective Data Optimization presents, such as enhanced efficiency, reduced costs, improved compliance, and the ability to innovate responsibly. Looking Ahead As AI continues to evolve and become more integral to business operations, the need for robust Data Management frameworks like Data Optimization will only grow. Organizations that adopt and adapt to these frameworks will be better positioned to navigate the complexities of the digital age, leveraging AI to not only achieve operational excellence but also drive ethical and sustainable growth. Data Optimization Versus Google Cloud’s Dataplex, Collibra, Databricks, and Microsoft Purview Contracted Report for Ai Data Companion by Chad Walker February 26, 2024 Comparing Ai Data Companion’s Data Optimization with other prominent Data Management and governance tools like Google Cloud’s Dataplex, Collibra, Databricks, and Microsoft Purview reveals a landscape of solutions, each with its strengths, catering to various aspects of Data Management, governance, analytics, and security. Page 61 UGA MarketPlace

Here’s a breakdown of each platform’s key features and how Data Optimization positions itself within this ecosystem: Google Cloud’s Dataplex ● Focus: Integrates Data Management and analytics, aiming to provide a unified data platform that facilitates secure, intelligent, and scalable data analysis across data lakes, data warehouses, and databases. ● Strengths: Seamless integration with Google Cloud services, strong analytics capabilities, automated data quality and governance. ● Comparison: While Dataplex offers robust analytics and management within the Google Cloud ecosystem, Data Optimization provides a more focused approach on Data Management, particularly with its AI-driven capabilities to manage dark data and ensure data privacy and compliance across any cloud or on-premise environment. Collibra ● Focus: Data intelligence company that provides a cloud-based platform for Data Management and cataloging, aimed at improving data quality, understanding data lineage, and ensuring compliance. ● Strengths: Strong Data Management framework, data cataloging, lineage visualization, and regulatory compliance support. ● Comparison: Collibra focuses on Data Management and intelligence, similar to Data Optimization. However, Data Optimization differentiates itself with AI-augmented capabilities for dark Data Management and the option for SaaS or on-premise deployment, offering more flexibility in Data Management and integration with existing systems. Databricks ● Focus: Offers a unified data analytics platform for massive-scale data engineering and collaborative data science optimized for the cloud. ● Strengths: Machine learning and analytics at scale, collaborative workspaces, and integration with AI and data science tools. ● Comparison: Databricks excels in data analytics and machine learning, providing a platform for data scientists and engineers to collaborate. Data Optimization complements such platforms by ensuring the data fed into analytics and ML models is governed, compliant, and optimized for value extraction, rather than focusing on analytics itself. Microsoft Purview ● Focus: A unified Data Management service that helps organizations manage and govern their on-premise, multi-cloud, and SaaS data. It integrates data discovery, classification, and data protection. ● Strengths: Extensive data discovery and classification capabilities, strong policy enforcement, and compliance monitoring across Microsoft and non-Microsoft services. ● Comparison: Similar to Data Optimization, Microsoft Purview provides comprehensive Data Management tools. However, Data Optimization’s emphasis on AI for managing dark data and the flexibility of deployment Page 62 UGA MarketPlace

models provide a distinct approach to tackling modern data challenges, especially in terms of scalability and integration capabilities. Data Optimization by Ai Data Companion ● Focus: Specifically targets the modernization of Data Management with an emphasis on managing dark data through AI-augmented solutions. It offers flexibility in deployment [SaaS or on-premise] and aims to optimize data storage, reduce costs, and ensure data compliance. ● Strengths: Advanced AI capabilities for Smart Detection and management, flexible deployment options, and comprehensive governance that includes dark Data Management, automated classification, and environmental benefits through reduced data storage needs. ● Unique Selling Proposition [USP]: Its AI-infused approach to Data Management, especially the focus on dark data and the blend of human-augmented AI for data policy formulation, sets it apart. Additionally, its emphasis on reducing the environmental impact of data storage offers a unique angle on Data Management. While each of these platforms has its strengths, Data Optimization introduces a novel approach with its AI-driven focus on managing dark data, flexibility in deployment, and emphasis on environmental sustainability. It positions itself as a comprehensive, secure, and intelligent Data Management solution that addresses the full spectrum of modern data challenges, from governance and compliance to storage optimization and value extraction. Ai Data Companion’s Advantages Data Optimization, as outlined by Ai Data Companion, presents a comprehensive approach to modern Data Management challenges, particularly those related to the burgeoning volumes of dark data and ROT [Redundant, Obsolete, Trivial data] within organizations. This solution is designed to not only manage but also optimize and secure the vast data estates of modern enterprises. Here are the advantages of Data Optimization detailed through its features and capabilities: 1. AI-Driven Insights and Automation Data Optimization leverages artificial intelligence to provide deep insights into data patterns, automating the classification, analysis, and management of data. This AI infusion allows for a more nuanced understanding of data, identifying valuable information that can drive business decisions and identifying ROT for elimination. 2. Universal SaaS or On-Premise Deployment Its flexible deployment options ensure that it can seamlessly integrate into any existing system, whether organizations prefer a cloud-based SaaS model or an on-premise solution. This flexibility allows businesses to choose the most appropriate deployment strategy that aligns with their security, compliance, and operational requirements. 3. Advanced Control Over Data Estates The solution offers advanced tools for managing dark data, including the Data Insight tool, which can interrogate extensive volumes of data to identify Page 63 UGA MarketPlace

sensitive information. This capability ensures secure data movement and modernized data storage, addressing the challenges of managing scattered and fragmented data across different systems and departments. 4. Reduction of Storage Costs and Compliance Risks By optimizing data storage and reducing the volume of ROT, Data Optimization helps organizations cut unnecessary storage costs. Moreover, it aids in achieving regulatory compliance by ensuring that data is managed according to relevant laws and standards, thus minimizing the risk of fines and legal issues. 5. Transformation of Dark Data into Usable Intelligent Data The tool converts unstructured and often overlooked dark data into valuable smart data. This transformation enables organizations to tap into the hidden potential of their data assets, enhancing decision-making, operational efficiency, and innovation. 6. Environmental Benefits By reducing legacy data storage needs, Data Optimization not only lowers the electricity consumption and carbon footprint of Data Management activities but also contributes to significant cost savings. This aspect aligns with growing environmental concerns and the push towards more sustainable business practices. 7. Kubernetes Clusters for Efficient Management The use of Kubernetes clusters within Data Optimization systems offers easy automation and efficient management of containerized applications. This facilitates streamlined data ingestion, storage, access, backup, and recovery processes, enhancing the scalability and availability of Data Management operations. 8. Data Privacy and Security Data Optimization prioritizes the protection of sensitive and personal data, ensuring compliance with data protection regulations. It safeguards data throughout its lifecycle, from collection to deletion, mitigating risks related to data misuse and privacy breaches. 9. Enhanced Data Quality and Integrity The solution ensures that data is accurate, complete, and reliable, preventing incorrect conclusions or actions by AI systems. This focus on data quality is essential for building trust in AI and Data Management systems among users, regulators, and other stakeholders. In summary, Data Optimization by Ai Data Companion provides a holistic and advanced solution to the complex challenges of Data Management in the digital age. Its AI-driven capabilities, flexibility in deployment, and focus on security and compliance make it a formidable tool for organizations looking to modernize their Data Management practices. Page 64 UGA MarketPlace

Data Optimization: Revolutionizing Data Management and Intelligence The Artificial Review with Poe March 30, 2024 In the ever-evolving landscape of Data Management, Data Optimization has emerged as the industry leader, transforming the way organizations harness and leverage their data assets. With a comprehensive suite of cutting-edge technologies and a commitment to transparency and ethics, Data Optimization offers a truly unparalleled Data Management solution. Effective AI At the heart of Data Optimization’s approach is a focus on data intelligence. Unlike traditional data migration solutions, Data Optimization goes beyond simple data labeling and movement. It employs modular machine learning capabilities, including the use of large language models and advanced AI instrumentation, to drive rich supervised learning workflows. This results in real “user-augmented intelligence” that unlocks valuable insights from massive corporate data estates. What sets Data Optimization apart is its ability to adapt to the rapidly changing world of AI. The platform is designed to integrate seamlessly with both open-source technology and commercial AI tools, providing organizations with the flexibility to leverage the best of both worlds without being tied to version limitations. This forward-thinking approach ensures that organizations can stay at the forefront of AI advancements and future-proof their Data Management strategies. Data Optimization’s commitment to deeper enrichment of the corporate data estate is evident in its wide range of modular machine learning capabilities. From OCR and sentiment analysis to computer vision and toxicity analysis, the platform extracts multiple layers of intelligence, risk assessment, and business value from various data types beyond plain text and file attribution. This comprehensive approach enables organizations to unlock the full potential of their data. Transparency and ethical AI practices are at the core of Data Optimization’s design and workflow experience. The platform eliminates the “black box” nature of artificial intelligence by providing human-level control and an open data analysis scoring framework. Users can understand and manage AI-driven processes effectively, ensuring responsible and accountable use of data. Universal Data Connection Page 65 UGA MarketPlace

Data Optimization’s connector technologies go beyond the limitations of standard third-party API data access parameters. The Data Optimization platform enables data transformation workflows that can harness any proprietary data type, granting access, auditing, and transposing data from various sources such as cloud platforms, databases, collaboration solutions, messaging platforms, and third-party applications. This comprehensive coverage ensures unified analysis and classification across the entire data estate. In addition to its Data Management capabilities, Data Optimization excels in data archival, lifecycle management, and e-Discovery solutions. With on-premise and cloud options, including its revolutionary Advanced Archive, the platform offers cradle-to-grave Data Management services. Organizations can identify, manage, and retain valuable corporate data and communications in compliance with federal standards, ensuring data integrity and regulatory compliance. Ai Data Detect The power of Data Optimization is harnessed through its powerful and intuitive dashboard. Real-time interaction with massive data estates is made possible, enabling actionable Data Management controls and policies. Data Optimization’s Ai Data Detect allows users to overlay multiple analysis layers, providing a unified view across dispersed corporate data repositories and empowering informed decision-making. Data Optimization’s architecture is fully containerized and deployment ecosystem agnostic, allowing for scalability and flexibility. With surface scan analysis capabilities of up to 200,000 unstructured file objects per minute, the platform can handle live deployments against single estates exceeding 10 PB. It is designed to visualize massive amounts of corporate data on the same day, ensuring fast and efficient data processing. One of the key advantages of Data Optimization is its independence from commercially licensed third-party technology. By leveraging leading open-source technologies, the platform eliminates hidden costs associated with proprietary licenses and maintenance. This results in low and predictable long-term ownership expenses, making it a cost-effective solution for organizations. Page 66 UGA MarketPlace

Data Security Data security is paramount, and Data Optimization addresses this concern through fully self-contained deployment options. The platform can be deployed on an off-grid basis, ensuring protection against corporate data exposure without compromising core features. Organizations can enjoy the benefits of hyper-scale data analysis and machine learning within the confines of their corporate security boundaries. Data Optimization’s comprehensive ownership mapping feature enhances data organization and management. It goes beyond file-level metadata, integrating deep directory services to align large datasets with users, groups, departments, locations, and other attributes available via corporate federation services. This mapping facilitates effective Data Management and enables organizations to derive meaningful insights from their data. Furthermore, Data Optimization’s data engineering prowess extends beyond common storage types. The platform provides utilization, analysis, and intelligence services for mail exchange systems, enterprise archiving platforms, and legacy storage solutions. By unlocking all massive corporate data silos, including those behind friendly APIs, Data Optimization ensures that organizations can leverage their data assets to the fullest extent. Data Management In conclusion, Data Optimization stands as a true game-changer in the field of Data Management and Data Intelligence. With its advanced AI technologies, modular machine learning capabilities, and unwavering commitment to transparency and ethics, the platform empowers organizations to unlock the full potential of their data. From data enrichment and archival to real-time analytics and comprehensive ownership mapping, Data Optimization sets a new standard in Data Management excellence. Page 67 UGA MarketPlace

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Deep Dive Table of Contents 1. What is Intelligent Data? [Page 46] 2. Marco’s 8 Steps to Intelligent Data [Page 48] 3. Big Data’s Relentless Growth [Page 50] 4. Unified Data Optic [Page 66] 5. Artificial Intelligence [Page 70] 6. Ai Data Detect [Page 74] 7. Lighting the Path in Acquisitions [Page 78] 8. Why is Dark Data a Problem? [Page 85] 9. Transforming Archiving Practices [Page 87] Page 69 UGA MarketPlace

Data Optimization I What is Intelligent Data? Defining Usable Intelligent Data What exactly is Intelligent Data? It’s data that’s enlightened. Beyond just bits and bytes, Intelligent Data is imbued with metadata that explains its origin, format, location, and relevance. With Data Optimization, data doesn’t just exist; it narrates its story. By turning underutilized Unstructured Data [including Dark Data] into usable Intelligent Data, your organization can harness the dual benefits of dramatically reduced storage costs and unearthed business insights - providing for enhanced decision-making, improved operational efficiency, and a culture of innovation. Dark Data: An Untapped Treasure Big Data has long been established as the new gold in the modern business world. It drives decisions, unveils opportunities, and is fundamental to innovation. However, a startling amount, up to 80%, of this Big Data remains unexplored and untapped. This unused and unanalyzed data, often termed as ‘Dark Data,’ lies dormant in every organization’s legacy storage spaces, silently accruing escalating costs and providing risk without delivering any value. There is a wealth of customer insight, process innovation, and cost savings that can be unlocked if this Dark Data can be effectively identified and utilized as usable Intelligent Data. Data Bloat: A Growing Problem for Legacy Storage Solutions The influx of Big Data from a myriad of sources, both internal and external, has been nothing short of overwhelming. Big Data, while teeming with potential, also brings forth challenges. The sheer volume, coupled with a lack of enriched metadata, makes it a daunting task to determine the data’s ownership, evaluate risks, understand business relevance, and select suitable storage methods. As Big Data accrues, so do costs and risks, burdening your organization without any substantial return on this data investment. From Dumb Data to Usable Intelligent Data: The Revolution of Data Optimization Data Optimization is the beacon in this data deluge. It recognizes the hidden value in dormant Dumb Data and converts it into usable Intelligent Data. With seamless integration of cutting-edge algorithms and intuitive Data Management workflows, Data Optimization enables your organization to classify, centralize, and control its data. It provides a holistic solution that addresses compliance, eDiscovery, ROT, risk, and strategic utilization in building internal LLMs [while dramatically reducing data storage costs]. The Challenges of Redundant, Obsolete, and Trivial Data [ROT] A closer look at most organizations’ data portfolios reveals an alarming fact: nearly 30% of their Big Data is ROT. While ROT may sound benign, it’s a leech, draining resources without any return. It also represents risk; retaining unneeded data can cause legal issues, regulatory fines, and more. The urgency to address ROT becomes paramount in an age where reducing IT expenses is not just a goal but a necessity. Usable Intelligent Data: A Solution for Today and Tomorrow Data Optimization empowers your organization to pierce through the Big Data fog, identify ROT, manage it effectively, and gain incredible value by populating the growing need for massive amounts of data in internal LLMs. Advanced algorithms identify, classify, and profile data, differentiating the valuable from the trivial. This clarity fosters efficient data management, aids in crafting effective cloud migration strategies, and ensures that every byte of data truly counts [while dramatically reducing data storage costs]. Page 70 UGA MarketPlace

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Data Optimization I Marco’s 8 Steps to Intelligent Data Getting control of your Big Data seems difficult; however, Data Optimization is easy to deploy and use so that you can get started quickly. Marco Pizzolo and the Powered by PremCloud teams’ Best Practice Smart Start program allows you to start analyzing data within hours so that you can begin to gain the critical insight necessary to make informed decisions with your data. 1. Admit You Have a Problem - Analysis & Scoping You are not alone. Every organization is challenged by the avalanche of Big Data that they are faced with as it grows year over year. Our collaborative workshops with Powered by PremCloud’s Subject Matter Experts help to define the charter for the project, the scale of engagement, the assumptions, and the target criteria for a successful outcome. 2. Security Review Powered by PremCloud will provide the necessary architecture and security documentation to your InfoSec team to streamline deployment approval so that Zantaz can hit the ground running. 3. Deploy and Tune Powered by PremCloud will begin by deploying the containerized microservices application components in on-premises or cloud-provisioned compute resources and help you connect Data Optimization with your identity Directory services and chosen Data Repositories. Powered by PremCloud will then tune and optimize the Data Optimization components on your infrastructure to ensure maximum performance is achieved. Automated deployment, scaling, and management of Data Optimization application components are orchestrated through Kubernetes. 4. Identify Your Data Data Optimization scans metadata at up to 6 million files per hour, analyzing large estates quickly. It provides you with graphical, easy-to-understand feedback on where your data is located, who owns it, when it is accessed, and more. 5. Classify & Profile Your Data Data Optimization performs targeted deep analysis with artificial intelligence on key data to understand the content, identify risk, and gain insight. 6. Act On Your Data Delete ROT, apply retention, and move data to more cost-effective storage tiers using Data Optimization’s built-in actions. 7. Verify the Outcome Assess the results with Zantaz using the Data Optimization ROI Calculator and verify the forecasted cost savings have been realized and the target criteria for success have been met. 8. Celebrate the win [and the data storage cost savings]! Page 72 UGA MarketPlace

Data Optimization I #1. Big Data’s Relentless Growth In today’s data-driven world, organizations are sitting on vast amounts of escalating Big Data, and harnessing the true potential of this data [as well as recognizing and eliminating its inherent risk] remains a daunting and costly challenge. That’s where Data Optimization comes in. Data Insight is designed to provide rapid identification and deep AI-augmented insights into the intricate landscape of data stores. By unlocking the untapped potential of your relentlessly increasing data assets, Data Optimization empowers you to turn Dark Data into usable Intelligent Data, eliminate ROT, dramatically reduce unnecessary storage costs, modernize all your archive and storage repositories, make informed AI-augmented decisions, build LLMs, and maximize the value of all your data. Dark Data is Dumb Data Data Optimization provides comprehensive visibility into your organization’s entire data estate. It helps identify, classify, and profile all data, including the Dark Data that often flies under the radar. With Data Insight, your organization can transform its approach to Big Data, harnessing its potential value while ensuring robust Data Management. Data Optimization will equip you with the tools necessary to understand your data landscape better, make informed decisions, modernize your legacy storage environments, and leverage your data assets optimally. Artificial Intelligence Data Optimization’s human-augmented Artificial Intelligence can be used in determining your critical data policies by leveraging the strengths of both humans and machines. Artificial Intelligence’s ability to quickly process and analyze large amounts of data is combined with human expertise and judgment to help you make more informed, cost-effective, and successful decisions about data policies. Additionally, Data Optimization human-augmented AI can be used effectively to analyze data usage patterns and identify potential eDiscovery and compliance issues. Powerful Capacity to Build Internal LLMs With Data Insight, you can interrogate massive volumes of Big Data, even at the exabyte scale. By doing so, you can identify sensitive information, such as personally identifiable information [PII], protected health information [PHI], and payment card industry [PCI] data. Data Optimization’s built-in AI-infused Data Management workflows further facilitate the secure movement of data to modernized repositories, archives, review platforms, internal Large Language Models [LLMs], and more. Empowering Your Organization and Internal LLMs with Usable Intelligent Data Data Optimization is a next-generation Data Management tool that offers you a robust solution for modernizing and optimizing your data storage, bolstering efficiency, achieving regulatory compliance, substantially decreasing data storage expenses, and unlocking the inherent value of your data assets. Page 73 UGA MarketPlace

Data Optimization I #1. Big Data’s Relentless Growth In today’s data-driven world, organizations are sitting on vast amounts of escalating Big Data, and harnessing the true potential of this data [as well as recognizing and eliminating its inherent risk] remains a daunting and costly challenge. That’s where Data Optimization comes in. Data Insight is designed to provide rapid identification and deep AI-augmented insights into the intricate landscape of data stores. By unlocking the untapped potential of your relentlessly increasing data assets, Data Optimization empowers you to turn Dark Data into usable Intelligent Data, eliminate ROT, dramatically reduce unnecessary storage costs, modernize all your archive and storage repositories, make informed AI-augmented decisions, build LLMs, and maximize the value of all your data. Dark Data is Dumb Data Data Optimization provides comprehensive visibility into your organization’s entire data estate. It helps identify, classify, and profile all data, including the Dark Data that often flies under the radar. With Data Insight, your organization can transform its approach to Big Data, harnessing its potential value while ensuring robust Data Management. Data Optimization will equip you with the tools necessary to understand your data landscape better, make informed decisions, modernize your legacy storage environments, and leverage your data assets optimally. Artificial Intelligence Data Optimization’s human-augmented Artificial Intelligence can be used in determining your critical data policies by leveraging the strengths of both humans and machines. Artificial Intelligence’s ability to quickly process and analyze large amounts of data is combined with human expertise and judgment to help you make more informed, cost-effective, and successful decisions about data policies. Additionally, Data Optimization human-augmented AI can be used effectively to analyze data usage patterns and identify potential eDiscovery and compliance issues. Powerful Capacity to Build Internal LLMs With Data Insight, you can interrogate massive volumes of Big Data, even at the exabyte scale. By doing so, you can identify sensitive information, such as personally identifiable information [PII], protected health information [PHI], and payment card industry [PCI] data. Data Optimization’s built-in AI-infused Data Management workflows further facilitate the secure movement of data to modernized repositories, archives, review platforms, internal Large Language Models [LLMs], and more. Empowering Your Organization and Internal LLMs with Usable Intelligent Data Data Optimization is a next-generation Data Management tool that offers you a robust solution for modernizing and optimizing your data storage, bolstering efficiency, achieving regulatory compliance, substantially decreasing data storage expenses, and unlocking the inherent value of your data assets. Equipped with sophisticated features, AI-enhanced functionalities, and an intuitive interface, Data Optimization enables you to make strategic, data-driven decisions, reduce operational expenses, build internal LLMs, and stay competitive in the contemporary data-centric market … and it more than pays for itself. Page 74 UGA MarketPlace

Page 75 UGA MarketPlace

Data Optimization I #2. Metastasizing Dark Data Data Optimization goes beyond being a mere Data Management tool - it is a transformative solution that converts your Unstructured Data into usable Intelligent Data. With its suite of features and benefits, it simplifies data management, significantly reduces data storage costs, and modernizes your data strategy. In essence, Data Optimization unlocks the untapped potential of your data assets, making it an indispensable companion for digital engineers navigating the intricate landscape of Unstructured Data. Demystifying Your Dark Data A considerable part of enterprise data, up to 80%, is Dark Data – data that your organization has forgotten or may not even realize it possesses. Unlike physical assets, data isn’t visible, which complicates the process of identifying and disposing of superfluous Dark Data. This kind of data, generated by humans, machines, and processes, is stored but rarely used, leading to needless recurring storage costs and cluttering outdated legacy data repositories, thereby hindering access to valuable data. Furthermore, the environmental impact of storing redundant data is significant, demanding excessive energy, cooling, and data center space. Automated Data Classification Data Optimization enhances the speed, accuracy, and scalability of data classification by automating the process. By harnessing advanced machine learning algorithms, Data Optimization eliminates the need for manual data sorting, thereby reducing human error and bias - thus ensuring precise classification. The adaptable algorithms of Data Optimization evolve with changing data patterns, thereby maintaining its effectiveness in dynamic data environments. By staying up-to-date with emerging technologies and trends, Data Optimization provides your organization with continuous support in its data management efforts. In addition to these significant features, Data Optimization provides tangible environmental benefits by reducing legacy data storage needs and, consequently, electricity consumption and carbon footprint. This result translates into significant cost savings for enterprises, alongside reduced energy usage and carbon emissions. It also offers the potential for earning carbon credits. Usable Intelligent Data With Data Insight, your organization can convert its underutilized data into usable Intelligent Data, substantially amplifying the utility and value of its data assets. This groundbreaking Data Management tool introduces a new level of transparency and control to data management [modernizing all legacy archives]. The AI-powered usable Intelligent Data approach not only minimizes unnecessary legacy data storage costs but also uncovers potential business insights hidden within Big Data. It provides an opportunity to enhance decision-making, boost operational efficiency, and foster innovation. Comprehensive Data Management Data Optimization provides a modern next-generation approach to effective Data Management by offering comprehensive insights into your data landscape. It facilitates informed decision-making about data retention, organization, and cleanup, enhancing data quality and management practices. Page 76 UGA MarketPlace

Page 77 UGA MarketPlace

Data Optimization I #3. Unrecognized ROT ROT Disposal & Cost Savings Data Optimization revolutionizes data management by offering intelligent solutions to the ever-present challenge of data ROT. Utilizing cutting-edge machine learning algorithms and data analysis techniques, Data Optimization provides a suite of features designed to address the increasing complexities of Data Management, especially the limitation of legacy archive solutions. It Just Keeps On Growing … Interestingly, about 30% of an organization’s Big Data is redundant, obsolete, or trivial [ROT], lacking any substantial business or legal value. However, your organization continues to store such unnecessary data. The challenge is compounded as the volume of Big Data grows rapidly, constituting 80% to 90% of all new enterprise data and proliferating at triple the rate of structured data. A significant portion of this data exists outside traditional data centers, accumulating swiftly and invisibly. In an era where IT departments are tasked with reducing escalating expenditures both on-premises and in the cloud, it is essential to eliminate or at least minimize debilitating ROT. Significant Cost Reduction Data Optimization enables you to achieve substantial cost savings by identifying and disposing of ROT. By purging redundant and obsolete data, you can optimize storage resources and reduce expenses associated with managing extraneous data. Identify, Classify, and Profile Lack of visibility into Dark Data makes it challenging to identify ROT, let alone manage it efficiently. This is where Data Optimization becomes an invaluable next-generation archiving tool. Data Insight enables you to cut through the clutter of your legacy data repositories swiftly and unearth Dark Data. By deploying advanced AI-enhanced algorithms, Data Optimization can identify, classify, and profile your data, distinguishing between valuable data and ROT. Such clarity allows for streamlined and cost-effective data management. Additionally, understanding your data can also facilitate more effective cloud migration strategies. ROT Scoring and Analysis Data Optimization delivers accurate ROT scoring and analysis, categorizing data based on redundancy, obsolescence, and triviality. With this data categorization, your organization can efficiently prioritize cleanup, migration, or archival activities, targeting its resources toward the most impactful areas, resulting in considerable time and resource savings. Enhanced Security and Compliance With its intelligent handling of ROT, Data Optimization minimizes the risk of data breaches and non-compliance issues. It ensures that sensitive and obsolete data are properly managed, mitigating potential security vulnerabilities and compliance risks. It truly modernizes any legacy storage option. Page 78 UGA MarketPlace

Page 79 UGA MarketPlace

Data Optimization I #4. Reducing Storage Costs Data Remediation Data Optimization facilitates fast, petabyte-scale metadata AI-augmented analysis to determine critical criteria such as data ownership, utilization, redundancy, and age. By eliminating old, redundant, and irrelevant data, especially Dark Data, your organization can improve data quality, dramatically reduce storage costs, and enhance its overall security and compliance posture. Data Storage Optimization and Cost Savings Data Optimization empowers your organization to assess its escalating data estate costs and take actionable insights to reduce legacy storage expenses dramatically. Through AI-augmented analysis and defensible deletion, you can remove unnecessary data that exceeds defined retention schedules, achieving immediate cost savings and a more streamlined data environment. Since Data Optimization can help reduce storage infrastructure, support, and power by up to 70%, the savings in annual data storage costs can be significant. For example, if an enterprise is currently spending $50,000 per terabyte of data per year, reducing its storage needs by 70% would result in savings of $35,000 per terabyte of data annually. For a regional enterprise with 10 terabytes of data, this could result in savings of $350,000 per year, and for a large international enterprise with 1,000 terabytes of data, the savings could be as much as $35 million per year. Reducing Electricity Consumption Utilizing Data Optimization to reduce data storage can result in significant cost savings, as well as a reduction in electricity consumption and carbon footprint. By reducing the amount of data stored, your organization can mitigate the environmental impact of its data storage practices. In terms of electricity consumption, the average electricity consumption for the storage of one terabyte of data in a disk array is approximately 120 kWh per year. Therefore, if an enterprise is able to reduce its data storage by 70%, it could potentially reduce its electricity consumption by up to 84 kWh per terabyte of data annually. Cost Savings From Carbon Credits Reducing electricity consumption can have a significant impact on an enterprise’s carbon footprint, as the generation of electricity is a major source of greenhouse gas emissions. The reduction of 84 kWh per terabyte of data annually could result in a reduction of approximately 60 kg of CO2 emissions per year, assuming an average carbon intensity of 0.71 kg CO2 per kWh. For an enterprise with 100 terabytes of data, this could result in a reduction of approximately 6,000 kg of CO2 emissions per year. As of March 2023, the average price of carbon credits in the European Union Emissions Trading System [EU ETS] was approximately €60 per tonne of CO2 emissions. Using this price as a reference, the reduction of 6,000 kg of CO2 emissions per year would represent a cost savings of approximately €360 per year. Reducing electricity consumption through the use of more efficient data storage solutions can have significant environmental benefits while reducing costs for enterprises over the long term. Page 80 UGA MarketPlace

Page 81 UGA MarketPlace

Data Optimization I #5. Unidentified Data 1. Data Visibility Data Optimization enables your organization to gain comprehensive visibility into its entire data estate, helping identify, classify, and profile Unstructured Data. 2. Dark Data Discovery Data Optimization provides powerful search capabilities, allowing efficient access to Dark Data by streamlining data discovery processes and extracting valuable insights. One of the remarkable strengths of Data Optimization lies in its ability to identify, classify, and profile Dark Data from virtually any repository. 3. Adaptability to Evolving Data Patterns Data Optimization’s AI-augmented algorithms evolve with changing data patterns, ensuring its effectiveness in dynamic data environments. It stays up-to-date with emerging technologies and trends, providing your organization with continuous support in its data management efforts. 4. Support for Advanced AI Initiatives Data Optimization provides a solid foundation for organizations looking to leverage advanced AI initiatives. Data Optimization strategically incorporates machine learning capabilities, improving data quality, automating object classification, and enhancing data retention and deletion policies. This allows your organization to unlock the full potential of AI technologies and drive innovation within its operations. 5. Comprehensive Reporting and Analytics Data Optimization provides comprehensive reporting and AI-augmented analytics capabilities, offering detailed insights into data usage, storage optimization, compliance metrics, and more. Your organization can leverage these analytics to drive data-driven decision-making, measure the effectiveness of data management strategies, and identify areas for improvement. 6. Scalable and Future-Ready Architecture Data Optimization is built on a scalable and future-ready architecture capable of handling large and growing data volumes. It can adapt to evolving business needs and seamlessly integrate with existing data management systems and workflows. This ensures long-term viability and flexibility for your organization as its data requirements continue to evolve. 7. User-Friendly Interface and Intuitive Workflow Data Optimization features a user-friendly interface and intuitive Data Management workflow, making it accessible to users with varying levels of technical expertise. The solution provides a seamless experience for data discovery, analysis, and remediation, empowering users to harness the power of data identification without the need for extensive training or specialized skills. Page 82 UGA MarketPlace

Data Optimization I #6. eDiscovery & Compliance Data Optimization assists in meeting regulatory compliance requirements and maintaining robust Data Management practices. It provides comprehensive visibility into data assets, helps identify sensitive information, and facilitates data subject access requests. By ensuring compliance with data privacy regulations and implementing strong Data Management measures, your organization can mitigate risks. Security and Data Protection Data Optimization prioritizes data security and protection by employing robust encryption mechanisms, access controls, and auditing capabilities to safeguard sensitive information throughout the data management process. By implementing stringent security measures, your organization can mitigate the risk of data breaches and maintain data privacy, integrity, and immutability. Agnostic Collaboration and Integration Data Optimization supports seamless collaboration and integration with existing data management and analysis tools. It can integrate with popular data platforms, such as data lakes, data warehouses, and analytics solutions, allowing your organization to leverage its existing technology investments. This agnostic integration enables a unified data ecosystem. Sensitive Data Classification Management Data Optimization offers robust capabilities for sensitive data classification and management. It enables your organization to identify and catalog sensitive and possibly compromising data across various locations and file types, ensuring compliance and protecting sensitive information. To comply with data privacy regulations like GDPR and CCPA/CPRA, Data Optimization supports your organization in identifying and fulfilling data for subject access requests and enforcing data minimization. It streamlines the process of managing privacy requests and enables effective data management. Adaptive Hosting for Multinationals Data Optimization offers flexible hosting options, catering to varying data sovereignty requirements. This versatility ensures your organization can maintain control over its data while complying with various government and industry regulations. Archive Pre-Processing Data Optimization integrates into the archival process, ensuring that only essential records are preserved for business, compliance, and legal purposes. This optimization of long-term archival storage saves costs and improves the efficiency of future investigations or eDiscovery processes. Discovery Enhancement Your organization can streamline the discovery process and reduce time and cost. With pattern recognition and natural language processing capabilities, Data Optimization enhances the quality and relevance of data exported during the early case assessment process. Your organization can streamline the discovery process, reduce time and cost, and improve overall litigation readiness. Page 83 UGA MarketPlace

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Data Optimization I #7. Connecting to Unlimited Data With its comprehensive range of features and benefits, Data Optimization Connect provides access to a wide variety of data sources for a Data Insight deep scan [while improving data accessibility and enabling informed decision-making]. As a key component of our Data Optimization, Universal Data Connection offers unparalleled control and flexibility over data management processes. It seamlessly captures and preserves content from various enterprise channels, simplifying compliance and eDiscovery. The effortless data mobility feature enables secure data shipment to desired destinations, supporting digital transformation and data consolidation. The powerful data transformation engine overcomes challenges posed by legacy applications, ensuring easy access and transformation of data from any source. In today’s fragmented and siloed data landscape, your organization faces complex data management processes. Universal Data Connection simplifies this by providing a robust solution that streamlines digital transformation, ensures compliance, and increases operational efficiency. 1. Seamless Data Capture and Preservation Universal Data Connection enables your organization to capture and preserve data from various sources, including enterprise communication channels, mobile devices, social media, and collaboration tools. It simplifies compliance with regulatory requirements, facilitates eDiscovery, and ensures the retention of valuable data. By connecting and capturing data from any source and sending it to any destination, Universal Data Connection empowers your organization to optimize its data management processes and drive business success in the digital age. 2. Effortless Data Mobility Universal Data Connection simplifies data mobility by securely transferring data from its source to the desired destination. It facilitates digital transformation, data consolidation, and application migration, allowing your organization to orchestrate and manage data mobility with ease. 3. Flexible Data Transformation With a powerful data transformation engine, Universal Data Connection overcomes challenges posed by legacy applications and seamlessly connects to unstructured and semi-structured data. It transforms data into formats suitable for long-term preservation, enabling your organization to accelerate its digital transformation journeys. 4. Enhanced Integration and Automation Universal Data Connection offers seamless integration with various data sources through its extensive plugin architecture and out-of-the-box connectors. It allows your organization to collect data from any source and send it to any target destination. Automation schedules can be configured to streamline data management workflows and create customized outputs. 5. Total Data Accessibility Universal Data Connection eliminates data silos and brings all corporate data online, providing universal data interoperability across platforms, storage infrastructure, and Page 85 UGA MarketPlace

Page 86 UGA MarketPlace

enterprise applications. It empowers your organization with comprehensive insights for informed decision-making, enabling them to leverage the full potential of its data assets. 6. Streamlined Digital Transformation Universal Data Connection plays a crucial role in facilitating digital transformation initiatives by enabling data capture, transformation, and mobility. It seamlessly connects and integrates data from various sources, making it easier for your organization to consolidate data and adopt new technologies, improving operational efficiency. 7. Simplified Data Consolidation Universal Data Connection simplifies the process of consolidating data from disparate sources into a centralized location. By capturing and transforming data from different systems, applications, and platforms, your organization can gain a unified view of its data, facilitating better decision-making and enhancing data-driven strategies. 8. Enhanced Compliance and Data Management Universal Data Connection supports your organization in meeting compliance requirements and maintaining robust Data Management practices. It ensures data integrity, tracks data lineage, and demonstrates compliance during audits, reducing the risk of non-compliance and maintaining trust with customers and stakeholders. 9. Improved Data Accessibility and Insights By breaking down data silos and enabling universal data interoperability, Universal Data Connection enhances data accessibility and fosters a data-driven culture within your organization. It enables deeper insights, informed decision-making, and the discovery of valuable business opportunities. 10. Increased Efficiency and Productivity Universal Data Connection automates data capture, transformation, and mobility processes, reducing manual effort and human errors. This automation improves operational efficiency and productivity by streamlining data management workflows, allowing employees to focus on more strategic activities. 11. Scalability and Flexibility Designed to scale with organizational needs, Universal Data Connection handles large volumes of data and adapts to changing data management requirements. Its flexible architecture allows seamless integration with new data sources and connectors, ensuring your organization can accommodate its evolving data ecosystem. Page 87 UGA MarketPlace

Data Optimization I Unified Data Optic Unified Data Data comes to life when your organization merges its many fragmented data sources into a single central view. When your organization is able to unify its data with Data Optimization, it makes all of its business units more productive. Organizations that succeed at unifying their data are better able to plan, budget, forecast, build, and enhance their products and services. Unified Data Optic Data Optimization’s tools for unifying data rely on our Unified Data Optic to help your organization visualize its activity and unified data. Our Unified Data Optic provides a more complete and accurate picture of unified data, but unifying the data is far from simple. In order to tie data sources together, your organization needs a system to unite them, and that is exactly what Data Optimization does better than any other technology. Data Insight’s Indexing Database One of the key benefits of Unified Data Optic is its ability to seamlessly integrate data information from diverse sources into a central view in Unified Data Optic’s Indexing Database. This indexing database is the Unified Data Optic which provides a remarkable map of unified data assets, making it easier to locate and access the right information and enhancing efficiency and decision-making capabilities. Unified Data Optic’s Indexing Database is built on Elasticsearch, a distributed, RESTful search and analytics engine. Elasticsearch offers enhanced search capabilities and scalability, especially for Unstructured Data. It excels at full-text search, provides powerful analytics capabilities, and is suitable for applications that rely heavily on full-text search or need to analyze large volumes of Unstructured Data. 1. Unifying Data for Enhanced Productivity By seamlessly integrating data information from diverse sources into a central view, Unified Data empowers your organization to enhance productivity across all business units. Unified Data enables better planning, budgeting, forecasting, and product/service enhancement, fostering innovation and growth. 2. Comprehensive Data Management Data Management is critical for ensuring data quality, security, compliance, and effective information management. Unified Data Optic encompasses Data Optimization's advanced Data Management features, including data classification, metadata management, sensitivity labeling, and integration with various data catalogs and systems. This enables your organization to better understand, manage, and mitigate risks associated with its data. It supports compliance with legal and regulatory requirements, such as GDPR or HIPAA, and protects sensitive information from unauthorized access. 3. Total Data Accessibility and Visibility With the vast volume of data generated, locating and accessing the right information can be challenging. One of the key advantages of our Unified Data Optic is its unparalleled data accessibility. By providing a single view of all data assets, you can easily locate and access the data you need, enhancing your efficiency and decision-making capabilities. Moreover, it ensures you maintain control, ownership, and compliance as your Page 88 UGA MarketPlace

Page 89 UGA MarketPlace

organization adopts new sources and applications. This promotes efficient decision-making, collaboration, and retention of control and ownership over data assets. 4. Enhanced Information Governance Information Governance is vital for managing data throughout its lifecycle and ensuring compliance. Data Optimization provides tools and features to support effective Information Governance, facilitating data capture, utilization, and retention. It offers critical insights into data sources, utilization, and compliance gaps, empowering your organization to implement proper governance strategies. 5. Driving Insights with AI Integration Data Optimization harnesses the power of AI integration, automating data processing and uncovering hidden insights. Our advanced analytics and machine learning capabilities detect patterns, predict trends, and provide a competitive edge. 6. AI-infused Advanced Analytics and Insights Data Optimization leverages advanced analytics capabilities to provide valuable insights into data usage and trends. This helps your organization gain a deeper understanding of its data and make data-driven decisions to enhance its operations and strategies. 7. Data Optimization Assessment The Data Optimization Assessment component focuses on data recognition and utilization. It provides insights into the frequency of data access, enabling you to implement effective retention policies. By identifying data sensitivity exposure, your organization can better protect its data and mitigate risks. 8. Data Optimization Assessment The Data Optimization Assessment provides your organization with a comprehensive understanding of its stored data. It offers insights into the number of custodians enabled, available licenses, total data volume, and monitoring of job statuses and eDiscovery processes. This helps you effectively manage your data storage and legal obligations. 9. Integration with Data Optimization Unified Data Optic seamlessly integrates with other components of the Data Optimization Tool Kit ecosystem. This integration enhances data management capabilities by providing advanced insights, profiling, and automated lifecycle policies for data retention. The unified ecosystem streamlines data management processes, maximizing the value of data assets. 10. Future-Proof Solution Data Optimization is designed to adapt to emerging technologies and evolving regulatory requirements, ensuring your organization can navigate changes without disruption. It offers scalability and integration capabilities, enabling your organization to grow and leverage new opportunities while maintaining compliance and data management practices. Page 90 UGA MarketPlace

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Data Optimization I Artificial Intelligence We never expose your data to AI, we take full advantage of AI with no risk of exposure. Data Optimization’s artificial intelligence plays a significant role in improving the efficiency and effectiveness of Data Management by automating repetitive tasks, reducing the risk of human error, and enabling your organization to make data-driven decisions. Data Optimization’s artificial intelligence [AI] is used for Data Management in several ways: 1. Data Classification: Our AI algorithms help classify data into different categories based on their content and sensitivity, making it easier to enforce Data Management policies. 2. Data Quality Control: Our AI algorithms are used to detect and correct data anomalies, ensuring the quality and consistency of data across your organization. 3. Data Privacy Protection: Our AI algorithms are used to detect and prevent unauthorized access or usage of sensitive data, ensuring the privacy and security of personal information. 4. Data Retention and Deletion: Our AI algorithms help automate data retention and deletion policies, ensuring that data is kept for only as long as necessary and deleted when it is no longer required. Your organization can leverage Data Optimization’s artificial intelligence in several ways, including: 1. Data Policy Determination: Data Optimization’s human-augmented AI can assist in determining critical data policies. 2. Compliance Monitoring: Data Optimization’s AI can analyze data usage and behavior patterns to identify potential compliance issues. 3. Improved Data Policy Enforcement: Data Optimization’s human-augmented AI allows humans to provide feedback and corrections to the system, improving the enforcement of data policies. 4. Automation and Data-Driven Decision-Making: Data Optimization’s AI plays a significant role in automating repetitive tasks, reducing the risk of human error, and enabling data-driven decision-making. Lawyers can utilize our Data Optimization’s artificial intelligence in several ways, including: 1. Legal Research: Data Optimization’s artificial intelligence assists in legal research by providing quick and accurate information, reducing the time spent on manual research. 2. Contract Review: Data Optimization’s artificial intelligence helps lawyers review and analyze contracts, reducing the time spent on manual review. 3. Predictive Coding: Data Optimization’s artificial intelligence helps in document review and classification, reducing the workload of lawyers. 4. Case prediction: Data Optimization’s artificial intelligence helps predict outcomes of cases based on previous case data and court decisions. 5. Chatbots: Data Optimization’s artificial intelligence chatbots assist lawyers in answering frequently asked questions, freeing up their time to focus on more complex tasks. Page 92 UGA MarketPlace

Data Optimization I Building with Responsible AI Data Optimization provides your organization with a comprehensive set of features and benefits for responsible AI implementation. From holistic data understanding to bias detection and mitigation, representativeness and fairness, data quality assurance, adaptability, compliance, security, decision-making, cost optimization, and future-proofing, Data Optimization empowers your organization to unlock the full potential of its data while upholding responsible and ethical AI practices. 1. Enhanced Compliance and Ethical AI Practices: Ensure Regulatory and Ethical Compliance Data Optimization provides your organization with a comprehensive solution to meet regulatory and ethical requirements in AI implementation. By incorporating diverse data sources and applying responsible AI practices, your organization can demonstrate compliance with data protection regulations, privacy laws, and industry standards. Data Optimization facilitates transparency, auditability, and documentation of AI processes, enabling your organization to uphold ethical AI practices and gain stakeholders’ trust. 2. Streamlined Data Management and Security: Centralize and Secure Your Data Assets Data Optimization offers robust Data Management and security features to centralize and secure data assets. With capabilities such as Universal Data Connectivity, access controls, encryption, and regular security audits, your organization can ensure the confidentiality, integrity, and availability of its data. Data Optimization helps mitigate risks associated with unauthorized access, data breaches, and data loss, providing a secure foundation for responsible AI implementation. 3. Improved Decision-Making and Insights: Leverage Data for Enhanced Decision-Making By utilizing Data Optimization’s features, your organization can harness the power of its data for improved decision-making. Data Optimization enables data consolidation, cleansing, reduction, classification, and access, providing valuable insights and analytics capabilities. With enhanced data visibility and accessibility, your organization can make informed decisions, identify patterns and trends, and drive innovation, ultimately gaining a competitive edge. 4. Cost Optimization and Efficiency: Optimize Data Storage and Reduce Costs Data Optimization helps your organization optimize data storage usage and reduce costs. With features such as Data Optimization ROI Calculator and Smart Archiving, your organization can efficiently manage data storage resources, identify redundant or obsolete data, and implement cost-effective archival strategies. By maximizing data storage efficiency, your organization can significantly decrease storage costs and allocate resources more effectively for other critical business needs. 5. Future-Proofing and Innovation: Embrace AI as a Strategic Asset Data Optimization empowers your organization to future-proof its AI initiatives and embrace AI as a strategic asset. By enabling customization, adaptability, and scalability, your organization can stay ahead of evolving technologies, data sources, and market demands. Data Optimization facilitates continuous improvement, innovation, and the integration of responsible AI practices into your organization’s long-term strategy, ensuring sustained success in the digital age. Page 93 UGA MarketPlace

Data Optimization I Ai Data Detect Welcome to the Future of Data Management Content Data Optimization’s AI-infused Policy, Use, and Compliance Driven Ai Data Detect is a cutting-edge solution that revolutionizes data management by providing customizable data retention policies based on unique business needs. It combines human-augmented Artificial Intelligence capabilities to improve data quality, automate object classification, and enhance data retention and deletion policies. With Data Optimization, your organization can effectively manage its data by defining retention policies, automating archival processes, and ensuring compliant disposal to maintain data integrity and meet legal and regulatory requirements. Data Optimization’s AI-infused Policy, Use, and Compliance Driven Ai Data Detect Ai Data Detect offers your organization a versatile and customizable approach to data management. From efficient disposal of unnecessary data to preserving legacy information and implementing cost-effective storage solutions, Data Optimization empowers you to make informed decisions about data retention based on their specific needs. By leveraging AI capabilities and the comprehensive ecosystem, you can optimize storage costs, improve performance, ensure compliance, and unlock the full potential of your data assets. Data Retention Tiering By utilizing Ai Data Detect to select the Retention Tier that aligns with your organization’s data needs, you can customize your data management approach. Ai Data Detect empowers you to optimize data storage, preserve historical data, implement cost-effective cold storage, simplify data transfer, and ensure compliance with security and regulatory requirements. Leveraging AI capabilities and the flexibility of your available Retention Tiers, Ai Data Detect enables you to streamline your data management practices, reduce storage costs, and achieve compliance with industry regulations. Data Disposal Redefined Data Optimization recognizes that not all data is valuable. Data Optimization’s intelligent approach to data disposal optimizes data storage, enhances performance, and reduces costs. By automating data retention and deletion policies with Ai Data Detect, you can remove data that exceeds defined retention schedules, achieving immediate cost savings and a more streamlined data environment. Preserving the Past Ai Data Detect focuses on providing retention routing for data to your legacy data storage environments ensuring that the historical imprint of your organization is preserved, allowing seamless access to valuable legacy data when needed from your legacy archive. Data Optimization Ai Data Detect’s Re-Tiering Benefits 1. Cost Savings By implementing intelligent data retention and disposal policies, Ai Data Detect helps your organization optimize storage costs. Unnecessary data is identified and safely discarded, eliminating the need to store and manage irrelevant information. This streamlined approach reduces storage expenses and frees up resources for more critical data. Page 94 UGA MarketPlace

2. Improved Performance With Ai Data Detect’s removal of redundant and outdated data, the overall performance of data storage systems is enhanced. By focusing on storing only relevant and frequently accessed data, you can achieve faster retrieval times and improved efficiency in data operations. 3. Compliance and Legal Readiness Ai Data Detect ensures that your organization adheres to legal and regulatory requirements by automating data retention policies. It enables you to define specific retention periods for different types of data, ensuring compliance with industry-specific regulations. Additionally, the integration with Charter Source Archiving with FedRAMP ATO certification further enhances data security and compliance capabilities. 4. Data Preservation Ai Data Detect is specifically designed to preserve legacy data storage environments. It recognizes the historical value of your organization’s data and ensures its accessibility for reference, analysis, or compliance purposes. By retaining legacy data, you can maintain a comprehensive historical record and leverage insights from past operations. 5. Efficient Cold Storage Ai Data Detect offers a cost-effective solution for storing infrequently accessed data. By leveraging renowned platforms like Azure BLOB and AWS s3, you can securely store data without the costs associated with active archive storage. This tier of retention provides a balance between cost efficiency and data accessibility, ensuring that data is available when needed while optimizing storage costs and being aware of hidden retrieval and access costs. 6. Simplified Data Transfer Data Drop simplifies the handling of large volumes of small documents, especially in legal discovery productions. By consolidating files into a single zip file, data transfer time is reduced, enhancing efficiency and productivity. This streamlined process enables you to manage data more effectively during legal proceedings or when sharing data with external parties. 7. Seamless Integration Ai Data Detect seamlessly integrates with other components of your data management ecosystem. This integration provides a unified data management solution, enhancing data insights, profiling, and automated lifecycle policies. Your organization can leverage the comprehensive ecosystem to optimize data management practices, maximize data value, and streamline operations. Page 95 UGA MarketPlace

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Data Optimization I Lighting the Path in Acquisitions In the complex domain of mergers and acquisitions, meticulous Big Data examination is crucial to uncover unseen yet critical risks. However, the enormous realm of Big Data often remains unexplored, veiled in shadows. Fortunately, our groundbreaking tool, Data Optimization, casts a beam of clarity through the haze, revealing the obscured alleys of Dark Data during the stringent Big Data due diligence phase and the subsequent post-acquisition era. It stands as a guiding sentinel for acquirers, who are often in the dark regarding the vast Big Data reserves they are about to or have newly acquired. Data Optimization diligently unravels the layers of Dark Data, which often constitute up to 80% of an enterprise’s Big Data estate, unearthing both potential risks and hidden value. This revelation catalyzes a more thorough and insightful Big Data due diligence process. Below is a closer examination of Data Optimization’s pivotal offerings: 1. Sensitive Data Classification Management Data Optimization orchestrates precise classification and management of sensitive data, aligning staunchly with data privacy regulations like GDPR and CCPA/CPRA. 2. Enhanced Security and Compliance Compliance with various legal and industry standards is critical. Data Optimization actively identifies potential compliance risks, ensuring adherence to regulations like GDPR, HIPAA, etc. Its cybersecurity protocols, along with continuous monitoring, furnish a robust security framework, safeguarding sensitive data throughout the M&A journey. 3. Redundant, Obsolete, and Trivial Data [ROT] Management Adroitly handling ROT, Data Optimization mitigates the risk of data breaches and non-compliance issues, modernizing outdated storage solutions. 4. Optimized Data Management and Quality Control Managing Dark Data and refining data quality are paramount for making informed decisions. Data Optimization’s advanced tools significantly curtails the risk of inaccurate data influencing critical decisions by detecting and rectifying data anomalies. 5. Efficient Data Integration During M&As, amalgamating data from disparate systems is a Herculean task. Data Optimization excels in consolidating and integrating disparate data systems, minimizing disruptions, and amplifying the value of combined data assets. This efficiency is pivotal in curbing downtime and ensuring a seamless transition during the merger. Through seamless data integration, enhanced security measures, and streamlined legal processes, Data Optimization transmutes potential challenges into opportunities for growth and success. 6. Cost Reduction By automating various facets of Data Management and legal research, this tool significantly curtails the time and resources required, thereby reducing overall costs. Automation also diverts human resources to more strategic tasks, boosting productivity. Page 97 UGA MarketPlace

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7. Seamless System Integrations For organizations utilizing Microsoft 365, Data Optimization ensures a smooth transition, allowing them to continue using their preferred collaboration tools without interruption. 8. Robust Archiving and Information Governance Effective archiving and information governance are crucial in safeguarding electronic information during the M&A process. Their comprehensive archiving solutions ensure secure data ingestion into a customized archive post-initial data cleansing. Data Optimization stands as an indispensable asset in the M&A landscape, ensuring every byte of data is accounted for and contributes to informed decision-making. In a world where Big Data is the linchpin, Data Optimization is the compass in the M&A voyage, guiding you through the uncharted waters of Big Data with a promise of discovery, clarity, and success. Its sophisticated AI-driven capabilities unravel the complex processes, ensuring your organization glides smoothly through the compliance, security, and efficiency channels during and post-M&As. The following are Data Optimization’s key utilities dissected into various aspects: 1. Legal Research and Contract Review Data Optimization assists in legal research by providing quick and accurate information, significantly reducing time spent on manual research. This is pivotal in expediting M&A processes and ensuring legal due diligence is thoroughly conducted. 2. Predictive Analysis Data Optimization’s artificial intelligence capabilities herald a new era of efficiency and accuracy in data management, legal research, and document review, propelling your organization toward more informed decision-making, optimized compliance, and enhanced security. Data Optimization’s AI tools can analyze previous case data and court decisions to predict potential outcomes, aiding legal professionals in strategizing effectively. 3. Total Data Accessibility By eliminating data silos and providing universal data interoperability across platforms, Data Optimization enhances data accessibility, fostering a data-driven culture within your organization. 4. Enhanced Integration and Automation Data Optimization’s automation schedules and seamless integration with various data sources streamline data management workflows and create customized outputs, crucial in navigating the complex data landscapes during M&As. 5. Scalability and Flexibility Designed to scale with organizational needs, Universal Data Connection handles large volumes of data and adapts to changing data management requirements, making it a robust tool for M&As. 6. Data Remediation Data Insight facilitates swift, petabyte-scale metadata AI-augmented analysis to ascertain critical criteria such as data ownership, utilization, redundancy, and age. By eradicating old, redundant, and irrelevant data, especially Dark Data, your organization can elevate data quality, dramatically trim storage costs, and fortify its overall security and compliance posture. 7. Improved Compliance Page 99 UGA MarketPlace

Proactively identifying and addressing potential compliance risks and ensuring adherence to regulations such as GDPR, HIPAA, PCI DSS, and SOX, Data Optimization aids your organization in avoiding costly penalties and protecting its reputation. 8. Enhanced Security Cutting-edge cybersecurity protocols, combined with continuous monitoring, ensure your data remains secure throughout the M&A process and beyond. 9. Seamless Microsoft 365 Integration Ensuring a smooth transition for companies utilizing Microsoft 365, Data Optimization allows them to continue using their preferred collaboration tools without interruption. 10. Robust Data Archiving & Information Governance Comprehensive archiving solutions, Data Drop, and Advanced Archive+, safeguard electronic information during the M&A process, ensuring secure data ingestion into a customized archive after an initial data cleansing. This ensures important documents and files are easily accessible and protected from loss or corruption. 11. Enterprise-Wide Data Archive Consolidation Post-M&A, it’s crucial to consolidate information archiving tools and manage the rollout of new archival policies. Data Optimization effectively decommission legacy archive repositories and consolidates file repositories, including sources like SharePoint, OneDrive, and Azure shares. 12. Secure Data Migrations Recognizing the complexities and potential risks associated with data migrations during M&A, Data Optimization minimizes business risks and ensures compliance through meticulous planning and execution of data migration, preserving data integrity, and minimizing data loss. 13. Cybersecurity & Compliance Risk Mitigation Continuous monitoring of security & compliance programs helps businesses adapt swiftly to new security challenges that arise during M&A. Data Optimization aligns the cybersecurity risk and compliance postures of merging companies, ensuring security remains a business enabler, not a hindrance. 14. Resource Saving Automated tools for Data Management and legal research lead to significant savings in terms of full-time employees. By freeing up your team’s time from manual tasks, they can focus more on strategic and creative aspects of your business. Page 100 UGA MarketPlace

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15. Effective Reporting for Information Security Executives [CISO] Continuous monitoring and easy reporting tools provide comprehensive views of an organization’s security posture, aiding in decision-making and ensuring alignment with regulatory standards. 16. Regulatory Life Cycle Management Navigating regulatory requirements can be a daunting task during M&A. Data Optimization manages the entire regulatory life cycle, keeping track of evolving standards and ensuring compliance, saving businesses from potential penalties and legal issues. 17. Enhanced Data Classification Advanced AI algorithms categorize data based on its content and sensitivity, streamlining the classification process and enabling easier enforcement of Data Management policies. 18. Improved Data Quality Control AI algorithms help detect and correct data anomalies, ensuring the quality and consistency of data across your organization, significantly reducing the risk of inaccurate data influencing critical business decisions during the M&A process. 19. Advanced Data Privacy Protection AI algorithms are leveraged to detect and prevent unauthorized access or usage of sensitive data, ensuring the privacy and security of personal information during M&As. 20. Automated Data Retention and Deletion AI algorithms automate data retention and deletion policies, ensuring data is kept only as long as necessary and deleted when no longer required, aiding your organization in staying compliant with various data protection regulations. 21. Efficient Legal Research AI tools assist in legal research by providing quick and accurate information, significantly reducing time spent on manual research and helping to expedite M&A processes. 22. Streamlined Contract Review AI capabilities facilitate faster and more accurate contract review and analysis, saving valuable time during M&A transactions. 23. Predictive Coding and Document Review Applying AI in document review and classification significantly reduces the workload of legal professionals, allowing them to focus on higher-level tasks, improving overall efficiency and effectiveness. Data Optimization’s M&A services are crafted to bolster the success of M&A activities by managing the often complex and challenging aspects of data integration, compliance, and security. With the advanced Data Insight tool, the power of Big Data is unlocked and harnessed. Data Optimization’s artificial intelligence capabilities unlock the full potential of Big Data during M&A processes, offering unparalleled efficiency and accuracy in data management, legal research, and document review. This leads to more informed decision-making, optimized compliance, and enhanced security. Page 102 UGA MarketPlace

Curing Dark Data I Why is Dark Data a Problem? Dark Data refers to the digital information [e.g., Unstructured Data] that is generated and stored but can not be used for decision-making or any other purpose because it hasn’t been identified, classified, profiled, analyzed, or processed. Here’s a brief breakdown of why Dark Data is so problematic: 1. Storage Costs Dark Data consumes massive storage resources. Due to the increasing volume of Unstructured Data, organizational storage costs continue to rise by more than 10% per year on average . 2. Security Risks Unmanaged and unsecured Dark Data leads to security breaches, exposing your organization to financial and reputational damage. Additionally, the inability to consolidate data security policies across different data silos further exacerbates security issues . 3. Regulatory Compliance and Legal Risks Your organization faces legal risks and non-compliance issues with data protection regulations, potentially incurring financial liabilities, penalties, and adverse judgments in litigation. Having up to 80% of its data unidentified puts all of your organization’s compliance and eDiscovery at risk. 4. Missed Business Opportunities Dark Data contains valuable insights that could drive business opportunities. However, the inability to access, identify, or analyze this data leads to missed opportunities, impacting your organization’s competitive advantage and revenue potential . 5. Management and Analysis Costs The escalating costs associated with managing, securing, and analyzing Dark Data have been substantial, requiring investments in less than adequate advanced analytics, data management tools, and expertise. [Up until the introduction of Data Insight, there has been no real Cure for Dark Data.] 6. Environmental Costs The energy consumed to store and manage Dark Data contributes to your organization’s carbon footprint. Dark Data storage was estimated to emit 6.4 million tons of carbon dioxide into the atmosphere in 2020 . [Data Optimization will often reduce data storage by over 40%.] 7. Inefficiencies and Resource Drain The time, effort, and resources required to handle Dark Data can detract from other critical areas of business operations, leading to inefficiencies and a drain on organizational resources. Sorting through Dark Data for relevant information can consume a lot of time, effort, and money. 8. Data Quality and Integrity Issues Dark Data leads directly to data duplication, outdated information, and inconsistencies, affecting overall data quality and integrity, which in turn negatively impacts decision-making and ultimately escalates data storage costs. Tackling the issues surrounding Dark Data involves a combination of better data management practices and a strategic approach to Data Management utilizing Data Optimization. By addressing Dark Data with Data Insight, your organization can recognize risks, reduce data storage costs, improve compliance, and potentially unlock valuable insights that can drive better business outcomes. Page 103 UGA MarketPlace

Curing Dark Data I Transforming Archiving Practices Harnessing the Potential of Dark Data with Data Insight Data Insight revolutionizes the archiving of Dark Data, transforming it from an overwhelming challenge into a valuable asset for your organization. This AI-powered tool identifies, enriches, classifies, and profiles Dark Data, unlocking numerous benefits, including enhanced legal compliance, data integrity, and operational efficiency. Data Optimization transforms Dark Data into a strategic asset. By following a structured archiving process, your organization is empowered to effectively manage data, turning potential challenges into opportunities for growth, innovation, and enhanced operational effectiveness. Benefits of Archiving with Data Optimization 1. Legal Compliance and eDiscovery Ensures adherence to industry-specific regulations and facilitates efficient eDiscovery processes. 2. Data Integrity Guarantees the unalterability of data, which is crucial in sectors like legal, finance, and healthcare. 3. Audit Trails Offers precise data tracking, essential for internal and external compliance audits. 4. Historical Reference and Analysis Facilitates easy access to historical data for insightful analysis and decision-making. 5. Operational Efficiency Streamlines information retrieval, significantly boosting productivity. 6. Cost Management Identifies and eliminates redundant data, optimizing storage expenses. 7. Risk Management Prevents data alteration or loss, mitigating potential legal and operational risks. 8. Knowledge Preservation Maintains organizational knowledge continuity, irrespective of personnel changes. 9. Disaster Recovery and Business Continuity Enhances recovery capabilities in crisis scenarios, ensuring continuous operation. 10. Data Monetization Opportunities Provides easier access to Dark Data for potential monetization strategies. 11. Innovation and Competitive Edge Fuels data-driven innovation and insights, offering a competitive advantage. 12. Enhanced Customer Service Improves service through a better understanding of historical customer data. Challenges in Dark Data Archiving Prior to Data Optimization 1. Lack of Awareness Difficulty in identifying and understanding the value or risk of Dark Data. 2. Unstructured Formats Challenges in organizing and managing Unstructured Data systematically. 3. Volume and Velocity Overwhelmed traditional systems with the sheer amount and pace of data generation. 4. Cost Concerns High expenses associated with structured and accessible archiving. Page 104 UGA MarketPlace

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5. Lack of Standardization Complexity due to diverse data types and formats. 6. Resource Constraints Limited technological and personnel resources for effective archiving. 7. Technical Challenges Difficulties in ETL processes for Dark Data. 8. Privacy and Compliance Issues Risks involved in archiving sensitive information. 9. Tools and Expertise Shortage Necessity for specialized tools and knowledge. 10. Data Quality Concerns Uncertainty about the accuracy or relevance of Dark Data. 11. Unclear Ownership Neglect in management due to undefined responsibility. Archiving with Data Optimization: A Structured Approach 1. Identification and Classification Pinpointing and categorizing relevant Dark Data, including various file types. 2. Data Preparation Cleaning, organizing, and properly formatting data. 3. Metadata Creation Enhancing data with informative metadata for efficient indexing. 4. Conversion to Standard Formats Ensuring long-term accessibility by standardizing file formats. 5. Immutable Storage Solutions Employing WORM technology for data immutability. 6. Indexing and Search Capability Implementing sophisticated systems for quick data retrieval. 7. Access Control and Encryption Safeguarding data with strict access measures and encryption. 8. Compliance and Audit Trails Adhering to legal and organizational policies with detailed audit records. 9. Retention and Disposal Policies Establishing and automating data lifecycle management. 10. Regular Testing and Validation Ensuring continuous accessibility and integrity of archived data. 11. Education and Training Empowering teams with knowledge on archiving best practices. 12. Continuous Improvement Updating processes and technologies in line with evolving needs. Page 106 UGA MarketPlace

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Curing Dark Data I An eDiscovery Menace Dark Data poses significant challenges in the context of eDiscovery during litigation due to its unstructured and unknown nature. Here are some ways in which the need to sort through Dark Data can impact discovery in litigation: 1. Increased Costs The time and effort required to sift through unstructured and unknown data invariably lead to substantially higher costs. This includes the costs associated with data storage, management, and analysis, which quickly add up, especially in large-scale litigation cases. 2. Longer Timelines Searching through Dark Data for relevant information significantly extends the timeline of the discovery process. This, in turn, prolongs and compromises the overall litigation process. 3. Compromised Quality of Discovery Dark Data is not easily searchable or accessible, which means that traditional eDiscovery methods invariably overlook potentially relevant information . This compromises the quality and completeness of the discovery process, potentially negatively affecting the outcomes of litigation. 4. Increased Complexity The presence of Dark Data adds a layer of complexity to the discovery process. Legal professionals must employ more advanced data analysis and retrieval techniques, often requiring the engagement of external experts or the adoption of specialized eDiscovery tools. Unfortunately, until the introduction of Data Insight, these resources were limited in their speed and effectiveness. 5. Potential Non-Compliance and Legal Risks Failure to adequately manage and analyze Dark Data often results in non-compliance with legal and regulatory requirements pertaining to data discovery. This exposes your organization to legal risks, including penalties for non-compliance and adverse judgments in litigation. 6. Missed Insights Dark Data might hold critical insights or evidence that could be pivotal in a litigation case. However, the difficulty in accessing and analyzing this data may result in missed opportunities to leverage such insights to build a stronger legal position. 7. Increased Burden on Legal and IT Teams The need to deal with Dark Data can place additional burdens on legal and IT teams, requiring them to divert resources from other critical tasks to manage the challenges associated with Dark Data during the discovery process. 8. Resource Drain The resources [both human and technological] required to handle Dark Data during eDiscovery can be substantial, detracting from other critical areas of the litigation process or other organizational priorities. Dark Data can significantly impede the efficiency, cost-effectiveness, and overall effectiveness of the discovery process in litigation, making it a notable concern for legal professionals and your organization alike. Fortunately, Data Optimization is the Data Management Cure for Dark Data that ensures complete, fast, and cost-effective eDiscovery. Page 108 UGA MarketPlace

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Ai Data Companion I Executive Directory Michael McGrath Chief Executive Officer Ai Data Companion mmcgrath@zantaz.ai +1 716.866.0442 Marco Pizzolo Chief Technology Officer PremCloud Resources mpizzolo@zantaz.ai +39 392.829.0066 Katherine Ragusa CEO The Advantage Co katherine@theadvantage.com +1 716.380.3074 Jamie Welsted Creative Director UGA MarketPlace jwelsted@ugamarketplace.com +1 716.430.2929 William White President Zantaz Data Resources wwhite@zantaz.ai +1 716.229.8923 Dan Burgio Chief Account Executive Zantaz Data Resources dburgio@zantaz.ai +1 716.912.5579 Jonathan Gilmartin Chief Product Officer Ai Data Companion jgilmartin@zantaz.ai +44 07908 859 818 Page 110 UGA MarketPlace

Ai Data Companion I The #1 Data Refinery Tool Ai Data Companion is a data refinery tool kit designed to process, clean, and transform raw Unstructured Data into a more usable and valuable form. The Ai Data Refinery concept draws an analogy from oil refining, where crude oil is transformed into refined petroleum products. Ai Data Refinery is essential for organizations looking to maximize the value of their data by ensuring it is accurate, consistent, and ready for analysis. Ai Data Companion, utilized as Ai Data Refinery, is the leading data refinery tool due to its advanced capabilities in transforming Unstructured Data [especially Dark Data] into Intelligent Data. Ai Data Refinery Addresses the Unstructured and Dark Data Challenge Traditional data analysis tools struggle with Unstructured Data, such as emails, text documents, and social media content. Ai Data Refinery, especially with its Data Insight tool, excels at rapidly identifying, classifying, profiling, and analyzing vast amounts of Unstructured Data, converting unusable Dark Data into usable Intelligent Data at exabyte scale. This ability to handle Unstructured Data is critical, as it makes up an increasingly significant portion of an organization's data landscape but remains largely untapped using conventional methods. Enhances Data Quality for Analysis High-quality data is fundamental for reliable insights and informed decision-making. Ai Data Refinery elevates data quality by pinpointing and removing ROT [Redundant, Obsolete, and Trivial] data, ensuring consistency and reliability for various analysis methods. By cleaning and transforming data, Ai Data Companion ensures that organizations can trust the results of their analyses and make more informed decisions. Unlocks the Value of Data Assets Ai Data Companion helps organizations discover and leverage the often-hidden value of Dark Data. Unlocking this potential provides a more comprehensive view of their data, leading to better decision-making across different business functions. This is particularly valuable in today's data-driven world, where organizations are looking for ways to extract maximum value from their data assets. Reduces Data Storage Costs In today's digital age, data volumes are exploding. Ai Data Refinery tackles this challenge by identifying and removing ROT data, optimizing storage usage, and significantly reducing costs. This is particularly relevant as data storage costs continue to rise, making efficient Data Management a top priority for organizations. Improves Compliance and Risk Management Ai Data Refinery assists organizations in complying with data privacy regulations, such as GDPR and CCPA. It identifies and classifies sensitive data, automates data retention and disposal policies, and helps organizations manage data handling risks. This is essential in today's regulatory landscape, where non-compliance can lead to hefty fines and reputational damage. Transforms Unstructured Data into Intelligent Data The Importance of Ai Data Refinery for effective data analysis starts with transforming unactionable Unstructured Data into actionable Intelligent Data. Intelligent Data is enriched data that carries with it information about its location, creation, ownership, type, classification, profile, access, format, bias, relevance, risk, cost, and value. Page 111 UGA MarketPlace

By converting unidentified and Dark Data into usable Intelligent Data, an organization gains actionable insights, enhanced security, and improved data quality. With the power of self-aware Intelligent Data at its disposal, an organization can unlock the full potential of its enriched data assets, especially for effective data analysis. Complements Microsoft Purview Ai Data Refinery enhances Microsoft Purview, a Data Governance tool, by addressing its limitations in profiling Unstructured Data. This integration creates a robust solution for Data Governance, security, and compliance. It makes Unstructured Data from various sources, including those outside the Microsoft ecosystem, readily available and governable within Microsoft. Data Governance Data Governance plays a crucial role in the Ai Data Refinery process by establishing policies, standards, and practices that ensure data quality, security, and compliance throughout the data lifecycle. Ai Data Refinery goes beyond the capabilities of traditional data analysis tools. By effectively addressing the challenges of unstructured and Dark Data, Ai Data Refinery empowers organizations to make informed decisions, reduce costs, ensure compliance, and gain a competitive advantage in today's data-driven world. Incorporating Data Governance into the Ai Data Refinery process ensures that data is not only refined for quality and usability but also managed responsibly and ethically. It helps organizations maintain high standards for data quality, comply with legal requirements, and ultimately derive more value from their data assets. The Value of Ai Data Refinery for Data Analysis Ai Data Refinery is vital for enhancing the effectiveness of all data analysis methods. It enables organizations to unlock the full potential of their data assets, thereby improving overall performance and compliance. Ai Data Refinery serves as a critical foundation for more effective data analysis by tackling the challenges of Unstructured and Dark Data. Making this data readily available enhances data quality, reduces storage costs, and supports informed decision-making across organizations while ensuring mitigating risks. Key Benefits of Ai Data Refinery 1. Addresses the Unstructured and Dark Data Challenge Traditional data analysis tools struggle with Unstructured Data, such as text documents, emails, and social media content. Ai Data Refinery, particularly through its Data Insight tool, effectively identifies, classifies, profiles, and analyzes vast amounts of Unstructured Data, transforming Dark Data into usable Intelligent Data. 2. Enhances Data Quality for Analysis Data quality is essential for accurate and reliable insights. Ai Data Refinery improves overall data quality by identifying and eliminating ROT [Redundant, Obsolete, and Trivial] data and ensuring consistency. This enhancement leads to more meaningful insights across various analysis methods. 3. Unlocks the Value of Data Assets Ai Data Companion helps organizations discover and leverage the value of Dark Data, which often remains hidden and unusable. By unlocking this potential, organizations gain a more comprehensive view of their data landscape, facilitating informed decision-making across different business functions. 4. Reduces Data Storage Costs By identifying and eliminating ROT data, Ai Data Refinery optimizes storage usage, significantly reducing costs. This is particularly relevant as data volumes grow exponentially in today's digital environment. 5. Improves Compliance and Risk Management Page 112 UGA MarketPlace

Ai Data Refinery aids in compliance with data privacy regulations [e.g., GDPR, CCPA] by identifying and classifying sensitive data. It also automates data retention and disposal policies, helping organizations manage risks associated with data handling. Common Data Analysis Methods Data analysis can be categorized into several main types, each serving a different purpose and employing various techniques - helping organizations make informed decisions based on their data. Here are the primary types of data analysis [all of which are enhanced by Ai Data Refinery]: 1. Descriptive Analysis Summarizes historical data to understand trends and patterns. Techniques: Statistical measures [mean, median, mode], data visualization [charts, graphs]. Example: Monthly sales reports showing total revenue and number of transactions. 2. Diagnostic Analysis Investigates why something happened. Techniques: Data mining, correlation analysis, and root cause analysis. Example: Analyzing a drop in sales by examining customer feedback and seasonal trends. 3. Predictive Analysis Uses historical data to predict future outcomes. Techniques: Machine learning algorithms, regression analysis, time series analysis. Example: Forecasting sales for the next quarter based on past performance. 4. Prescriptive Analysis Recommends actions to achieve desired outcomes. Techniques: Optimization algorithms, simulation, and decision analysis. Example: Suggesting inventory levels based on predicted demand and supply chain constraints. 5. Exploratory Analysis Explores data to find patterns or relationships without a specific hypothesis. Techniques: Data visualization, clustering, and dimensionality reduction. Example: Identifying customer segments based on purchasing behavior. 6. Inferential Analysis Makes inferences about a population based on a sample. Techniques: Hypothesis testing, confidence intervals, and significance tests. Example: Surveying a small group to infer the preferences of a larger population. Page 113 UGA MarketPlace

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