Arka AI Labs
What teams need to know before routing AI through a controlled gateway
Arka AI sits between applications, model providers, and agent tools so teams can evaluate policy, select routes, control spend, govern tools, and preserve evidence for later review.
Key points
- Policy checks run before provider or tool handoff.
- Request records preserve caller, route, policy, spend, and trace context.
- Provider dashboards remain useful, but Arka keeps company-side evidence together.
Arka AI evidence layer
Arka AI preserves caller identity, policy outcomes, route choices, denied options, tool calls, spend context, storage posture, and trace identifiers for reviewable enterprise AI operations.
Explore the Arka AI evidence layer
Each area below shows how Arka AI proves what enterprise AI did and why each agent acted.
- Arka AI evidence layer home
- Workload-aware AI routing with policy evidence
- AI policy checks with request evidence
- AI spend control that proves savings
- AI evidence ledger for request decisions
- Model coverage governed by enterprise policy
- OpenAI-compatible API for governed AI traffic
- About Arka AI Labs