What is DepthData?
DepthData is an AI spend and adoption intelligence platform that connects to every major AI tool your company already uses—ChatGPT, Claude, Copilot, Gemini, and others—and consolidates them into a single, audit-ready view. Instead of juggling four admin consoles with four different definitions of "active user," DepthData reads the vendor APIs directly and returns one defensible figure: what you spent, what you got back, and how much of that number was counted rather than guessed. Every metric carries a verification label, so finance teams know exactly which numbers came from vendor APIs and which were modeled estimates.
Who it's for
- CFOs and finance leaders who need a single, sign-off-ready figure for AI spend across multiple tools, without waiting a week for manual exports.
- IT and procurement managers who are tired of reconciling four billing pages and four incompatible definitions of usage, and want one consistent baseline.
- AI platform owners and ops teams who need to track adoption targets like weekly active usage and cost per user, and spot idle seats before they become budget waste.
Key features
Read-only vendor connections
DepthData attaches to each vendor console using read-only scopes, meaning it never alters settings, never writes data, and never touches prompts. It pulls seats, usage, spend, and audit events directly from official APIs where they exist—and openly states where a vendor exposes nothing yet.
Verification labels on every number
Each figure in DepthData carries a label showing how it was verified: counted from an API, exported from a console, or modeled as an estimate. This transparency is what makes the output defensible in an audit or a budget review.
Unified schema across tools
Instead of four incompatible definitions of "active," DepthData translates every vendor's units into a single set of terms. One baseline for active, spend, and value holds across ChatGPT, Claude, Lovable, Gemini, Vercel, and more—so you can actually add the numbers up.
Target tracking and adoption grading
The workspace tracks goals like weekly adoption to 85%, cost per user to $200, and staying under a monthly spend cap, grading each as on track, behind, or at risk. Spend and adoption trace back to a single cause, so you know what to fix.
What stands out
"Every number is labeled by how it's verified—counted, not guessed."
That single principle is what separates DepthData from every dashboard that just scrapes exports and calls it analytics. Most tools give you pretty charts with no provenance; DepthData gives you figures a finance team will actually sign. It also publishes a connector matrix stating exactly what each vendor's API can and cannot expose—including where vendors expose nothing but seats. That honesty is rare, and it means you never get a number that was silently fabricated.
Worth checking out if…
You're paying for four or five AI tools and can't answer basic questions like what you're spending, who's using what, and which seats sit idle. If your CFO has ever asked "what did we get for the $48.2k?" and nobody could answer without a week of exports, DepthData is built for that moment. It's also worth a look if you're tired of vendor consoles that each define "active" differently, or if you need an audit-ready record of AI spend before the next budget cycle.
