DepthData

DepthData is designed to be the definitive system of record for a company's AI expenditure and adoption. It serves businesses that are increasingly subscribing to multiple AI tools, such as ChatGPT, Claude, and Copilot, but struggle to track their overall spending, identify active users, and manage underutilized licenses. The proliferation of AI tools has created a significant challenge for organizations. Companies often find themselves paying for numerous services without a clear understanding of their financial commitment or how these tools are being utilized across different teams. This lack of visibility makes it difficult to optimize budgets, ensure compliance, and make informed decisions about future AI investments. DepthData addresses this by consolidating information from disparate AI platforms into a single, comprehensive dashboard. One of DepthData's core features is its commitment to verified data. Every metric presented is explicitly labeled with its verification method, ensuring transparency and trust. This approach means that the system never reads user prompts, focusing solely on metadata such as usage patterns and seat assignments. This strict adherence to data privacy and verification builds confidence for security-conscious organizations. The platform offers a unified view of AI spend and adoption across all connected tools. It aggregates data from various AI vendors, presenting it in an audit-ready format. This allows finance and IT departments to easily track expenses, identify which employees are using which tools, and pinpoint idle seats, thereby enabling better resource allocation and cost savings. DepthData provides detailed insights into AI tool usage. It goes beyond simple seat counts to show actual usage data, helping to identify underutilized licenses or tools that may be redundant. This granular view empowers businesses to make data-driven decisions about their AI tool stack, ensuring they are getting the most value from their investments. Another key capability is the ability to attribute spend to specific teams and projects. By allowing managers to assign employees to departments and projects within the platform, DepthData rolls up costs accordingly. For tools that support project-level cost reporting, this data is pulled directly. For others, spend is allocated based on individual project usage, with clear labeling to distinguish between measured and allocated costs. DepthData operates on a principle of data integrity and transparency. It connects to AI tools via their APIs, extracting only the necessary metadata. The system prioritizes using direct billing information where available and supplements this with usage data and contract pricing inputs for tools that do not offer direct cost APIs. A crucial aspect of its methodology is the clear labeling of all figures as either 'MEASURED' or 'ALLOCATED,' preventing the misinterpretation of estimates as hard facts. The benefits for users include enhanced financial control over AI spending, improved adoption tracking, and increased operational efficiency. By providing a clear, verifiable audit trail, DepthData helps organizations avoid unexpected costs, optimize their AI tool portfolio, and ensure that their investments align with business objectives. Concrete use cases for DepthData include finance teams needing to reconcile AI tool expenses across multiple vendors, IT departments managing software licenses and user access, and project managers tracking the cost of AI-driven features. It is also valuable for security teams reviewing tool access and data privacy compliance. DepthData is positioned as a SaaS solution. While specific pricing tiers are not detailed, the product is available via its website. The platform integrates with various AI tools through their APIs. The underlying technology stack is not explicitly detailed, but it emphasizes read-only, metadata-only access to ensure security and privacy. In summary, DepthData offers a vital solution for companies navigating the complex landscape of AI tool adoption, providing a transparent, verifiable, and unified view of spend and usage to drive informed decision-making and cost optimization.