DepthData

DepthData is designed to be the definitive system of record for your company's AI expenditure and adoption. It addresses the growing challenge businesses face as they increasingly utilize multiple AI tools, such as ChatGPT, Claude, and Copilot, often without a clear understanding of their overall investment or how these resources are being utilized. The problem DepthData solves stems from the fragmented nature of AI tool management. Companies often find themselves subscribing to numerous AI services, leading to a lack of visibility into total spending, who is actively using which tools, and whether allocated seats are being effectively utilized. This opacity makes it difficult for finance and IT departments to manage budgets, optimize resource allocation, and ensure compliance. One of the core features of DepthData is its ability to connect with various AI tools, consolidating their data into a single, comprehensive dashboard. This integration provides an audit-ready view of both spend and adoption, allowing businesses to track expenses accurately. The system emphasizes transparency by labeling every financial figure with its verification method, ensuring users understand the source of the data. Crucially, DepthData operates with a strict privacy policy, never reading user prompts and focusing solely on metadata such as usage patterns and seat assignments. DepthData offers granular insights into AI spend by distinguishing between directly measured costs from provider billing and allocated costs based on usage data and contract prices. For tools that provide direct cost APIs, DepthData pulls actual dollar amounts. For others, it combines usage data with user-inputted seat prices. This dual approach ensures that even when direct billing information isn't available, a clear picture of expenditure can still be constructed. The system also allows for the input of contract pricing, providing a comprehensive financial overview. Attribution of spend is a key capability, enabling managers to assign employees to departments and roll up costs accordingly. Furthermore, DepthData supports project-level cost tracking. For tools that report project spend directly, this data is integrated. When tools report project usage but not cost, DepthData allocates individual spend across projects based on usage, clearly labeling these figures as 'ALLOCATED' to maintain transparency. This detailed breakdown helps in understanding the financial impact of specific initiatives. The product's methodology is built on a foundation of verifiable data. It prioritizes information directly obtainable from vendor APIs, ensuring accuracy and trustworthiness. When direct data is unavailable, it uses user-provided contract details or allocates costs based on usage, always with clear labeling. This approach ensures that finance teams can trust the numbers presented, as they are either directly measured or explicitly allocated. The benefits for users include enhanced financial control over AI investments, improved resource optimization by identifying underutilized seats or redundant tools, and increased transparency for auditing and budgeting purposes. By providing a clear, verifiable system of record, DepthData empowers organizations to make informed decisions about their AI strategy and spending. Specific use cases include finance departments needing to reconcile AI tool expenses across different teams, IT managers seeking to identify and eliminate redundant AI subscriptions, and product teams wanting to understand the cost implications of using AI features in their applications. For instance, a company can use DepthData to see which employees are using multiple AI tools, identify potential overlaps, and understand the total cost associated with specific projects or departments. DepthData is designed for companies that are investing in multiple AI tools and need a centralized system to manage their spend and adoption. It connects to various AI vendors, with a focus on providing verifiable data. The product also includes features like expense reconciliation through CSV uploads, allowing users to match their finance department's exports against connected tools to identify unaccounted spend. In summary, DepthData serves as an essential tool for organizations navigating the complex landscape of AI tool adoption, offering unparalleled clarity and control over AI-related expenditures through its transparent, verifiable, and comprehensive system of record.