The hard parts of running AI in production — cost, reliability, and control — handled by the layer in front of your models.
Model bills climb every month with no control surface, and no one can say which calls drove the cost.
Every request goes to the cheapest model that still clears the quality bar.
Hard budgets per key and team, with alerts before you blow through them.
Every call is logged with model, tokens, and exact cost — so spend has an owner.
A single upstream degrades or rate-limits, and your product takes the outage with it.
The router retries the next healthy model in the chain transparently — no client changes.
OpenAI, Anthropic, Google, Qwen, and your own OpenAI-compatible nodes behind one API.
Degraded providers are skipped automatically until they recover.
Regulated prompts legally can't go to the public cloud, but your AI stack lives there.
Route chosen traffic to a model you host, for example vLLM on your own GPU node.
Bind jurisdiction-sensitive requests to in-region models with central policy. On the roadmap — not available yet.
See which model served every request in the request log, with key, budget and policy changes kept in an append-only audit log.
Start free with the AI Model Router, or talk to us about dedicated capacity.