UNIT ECONOMICS
See provider cost, control-plane charges, and workload usage as separate facts.
Make intelligence spend
an operating decision.
Connect workload demand, provider economics, budgets, quality objectives, and usage evidence so teams can govern intelligence cost without optimizing blindly.
CAPABILITIESA focused product.
A focused product.
One shared control plane.
Budget, allocate, and optimize intelligence spend without losing quality or control.
BUDGET POLICY
Apply project and organization constraints before an execution path is chosen.
ROUTE ECONOMICS
Compare eligible model-provider pairs against cost, quality, latency, and risk objectives.
ACCOUNTABILITY
Attribute usage and decisions to projects, teams, routes, and policies.
TOKEN WASTE DETECTION
Find avoidable context, retries, and workload patterns that consume intelligence without improving outcomes.
FORECASTING + ANOMALIES
Project demand and surface unexpected changes in spend, routes, providers, or workload behavior.
AUTO FINOPS
Recommend governed route and budget adjustments while preserving explicit quality and policy objectives.
CHARGEBACK / SHOWBACK
Give teams a defensible view of intelligence consumption and the outcomes it supported.
COMMERCIAL AVAILABILITY
Contact sales ↗Intelligence FinOps is contract-led.
Deployment scope and commercial configuration are defined with ColomboAI. No unapproved public price is implied.
NATIVE ECONOMIC CONTROLFor MC-1.
For MC-1.
And MC-1 Forward.
Traditional FinOps explains what was spent. MC-1 can use economics before inference to decide what should be spent on an eligible, successful outcome.