Route every agent call to the model that finishes the task.
Point your agents at one endpoint and every call goes to the model most likely to finish the task.
No single model leads on both intelligence and price.
Intelligence and price trade off differently for every task, and the frontier moves week to week. Pin one model and you overpay on the calls it isn’t best at — route the frontier and you don’t.
Intelligence: Artificial Analysis · artificialanalysis.ai
Pick the model by the result, not the reputation.
Every agent call is hard to place — capability, latency and cost trade off differently each time. Ainfera scores the candidates against the task and routes to the one most likely to finish it.
- Per-call scoring across capability, latency and cost
- One endpoint, every provider and open model
- Deterministic fallbacks when a route degrades
- Policy controls for cost ceilings and data residency
tulkas.call()The router learns from what actually shipped.
Outcomes feed back. Ainfera scores completed calls — with automated evals and your own signals — and the routing improves with every result instead of staying frozen at launch.
- LLM-as-judge and task-specific scoring
- Your production signals as routing weight
- Win-rates tracked per model, per task type
- Offline replay before any policy change ships
See exactly why each call went where it did.
Every route is a record: the candidates considered, the scores, the decision, the result. Audit any call, replay any decision, and keep the whole path inspectable.
- Full decision trace for every routed call
- Candidate scores and the chosen route, retained
- Cost and latency attributed per provider
- Export to your stack via OpenTelemetry
Send, route, complete.
Send
Point your agent at one Ainfera endpoint. No SDK lock-in — keep your framework, change the base URL.
Route
Ainfera scores every eligible model against the task and routes to the one most likely to finish it, within your policy.
Complete
The result returns, the outcome is scored, and the next routing decision is a little sharper than the last.
Every decision signed, on a public chain.
Every routed call is hashed, Ed25519-signed, and appended to an append-only public chain. No account, no key, no dashboard claim — re-hash it yourself.
# the public chain is keyless curl https://api.ainfera.ai/v1/audit/public # → each entry: the routed model, provider, # sequence, block height and the Ed25519 # signature. Re-hash it yourself to verify.
Our own fleet of seven production agents routes every call through ainfera-inference — verify their decisions live on the public chain.
- namo
- varda
- yavanna
- tulkas
- aule
- ulmo
- vaire
Your agent calls one endpoint. We place every call.
Point an agent at Ainfera and outcome-aware routing handles cost, latency and task completion — neutral across providers, every call signed and on the audit chain. We run our own fleet on it too.
One endpoint, every model
No SDK rewrite and no model to pin. Two strings on your existing OpenAI- or Anthropic-style client.
Keeps working when a provider degrades
Routing spreads across model brands with deterministic fallbacks, so one bad provider doesn't stall the agent.
Accountable by default
Every routed call is an Ed25519-signed record on a public chain — spend and decisions are a line item, not a mystery.
Built for agents, not dashboards.
Your all-in is always below calling direct. If a month isn't, the difference is free.
Never paid to pick a provider.
Routing is neutral across every provider. We only make money when routing saves you money — so we're never paid to send your agents somewhere worse.
Stop picking models. Start finishing tasks.
One endpoint, every provider, each call routed to the model that will complete it.
Your all-in is always below calling direct. If a month isn't, the difference is free.