Govern Model Access Without Rewriting Every App
Cloptima gives platform teams a governed, OpenAI-compatible control point for model access, spend controls, and usage attribution across providers.
Govern access before spend happens
AI adoption usually starts with scattered provider keys, direct SDK calls, and inconsistent tagging. By the time finance sees the bill, teams cannot explain which app, agent, customer, or workflow created the spend.
- Unapproved models and endpoints
- Provider keys spread across apps and laptops
- No consistent team, app, or environment attribution
- Budget enforcement that happens after the provider bill
One policy layer across model usage
Applications call one governed endpoint while Cloptima applies policy, captures usage context, and normalizes spend signals across OpenAI, Anthropic, Gemini, Vertex AI, Bedrock, and compatible model APIs.
- Route requests through approved providers and models
- Issue app-scoped virtual keys instead of spreading provider keys
- Attach team, app, environment, user, session, and run context
- Apply spend, token, request, and model policies before calls leave the control plane
- Keep gateway usage connected to cloud and Kubernetes ownership data
Start with one app, then expand
Start with a small set of production apps, create governed virtual keys, set default limits, and use dashboards to see spend by model, provider, team, and app before rolling controls out more broadly.
Built for private production AI
The gateway is designed as an execution-layer neutral control point. It supports low-latency budget checks, durable pre-flight reservations, resilient usage finalization, no-retention prompt policies, and policy snapshots for local or VPC deployment options.
Launch path
Create a Cloptima virtual key, connect provider credentials or approved provider routes, update your SDK base URL, and add attribution headers or SDK metadata for richer chargeback.
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.