Connect AI Spend to Product and Margin
Cloptima helps teams move beyond model dashboards into AI unit economics: cost per customer, workflow, run, feature, and revenue-bearing action.
Govern access before spend happens
AI features can look successful on adoption metrics while quietly eroding gross margin. Teams need cost per unit of value, not just provider totals.
One policy layer across model usage
Usage can be grouped by business dimensions such as customer, workspace, plan, workflow, run, or product feature. Unit denominators let teams compare LLM cost against operational and revenue metrics.
Start with one app, then expand
Define one or two core units, such as cost per ticket or cost per customer workspace, then use model and app breakdowns to find the workflows with the highest margin pressure.
Built for private production AI
Cloptima's attribution layer is designed to combine AI usage, cloud ownership, Kubernetes context, and business metadata so unit economics can be measured across the full product cost stack.
Launch path
Send customer, workspace, run, or workflow metadata with usage. Add denominator settings in Cloptima and review unit cost trends alongside provider and cloud costs.
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.