Know Which Models, Apps, and Teams Drive AI Spend
Cloptima turns raw LLM usage into finance-ready analytics across provider, model, engineering, and business dimensions.
Govern access before spend happens
Provider dashboards show usage, but they rarely explain product ownership, engineering ownership, customer cost, or margin impact. Finance needs model spend in the same language as cloud and product economics.
One policy layer across model usage
Gateway, SDK, OpenTelemetry, and import paths normalize usage into one model spend view. Cloptima then layers allocation, pricing, credits, and ownership context on top.
Start with one app, then expand
Break down spend by provider and model, compare development and production usage, find high-cost apps, and identify unowned usage that needs attribution cleanup.
Built for private production AI
The analytics model is built to combine direct gateway usage, telemetry ingest, provider-reported billing data, and cloud ownership dimensions without forcing every app through a single migration path.
Launch path
Start with gateway traffic or telemetry ingest, attach team and app metadata, then connect cloud and org sources so Cloptima can map usage to owners.
FAQ
Operationalize LLM FinOps Across Your Apps
Start with telemetry, gateway governance, or provider bill matching workflows. Keep model spend connected to engineering ownership and finance reporting.