Most systems send every request to one model because choosing is work. We measure each class of request on cost, latency and quality, then route it to the smallest model that still passes, with fallbacks when a provider degrades and caching where the same question keeps arriving. The routing table is configuration you own, so when a lower-cost model gets good enough you change a value rather than rebuild.
01 / ROUTING
For teams paying frontier prices for routine work. Each request class measured on cost, latency and quality, then routed to the smallest model that holds.
Usually shipped with
Not a bundle to buy. Whichever you start from, the engagement covers what the build actually needs.
02 / Scope
03 / Outcomes
04 / Deliverables
05 / Stack
06 / Why us
When a lower-cost model gets good enough you change a value and re-run the harness. Teams that hard-code the choice rebuild instead.
An average quality score hides the class where the small model fails. Routing decisions made on averages are how cost savings turn into complaints.
Model quality and price change monthly. A routing decision made once is stale within a quarter, so the harness ships with the table.
Week 1
Requests are not uniform. We separate them into classes by what they actually demand, because routing an easy class to a frontier model is where the money goes.
Week 1-2
Cost, latency and quality per class, per candidate model. The measurement is the work; the routing table falls out of it.
Week 2-3
A provider degrades, a rate limit hits, the same question arrives twice. Each has a less expensive answer than a retry against the same model.
Week 3-5
The routing configuration is yours, with the measurement harness, so you can re-run it when a new model lands.
Each request is classified by task, length and whether it carries personal data, and a router picks a fast, frontier or local model against cost, latency and failover rules. Responses merge through a schema check with retry before they reach your app, and every call writes what it cost and how long it took. Routing is only worth doing when you can prove which lane a request took.
Production-proven
Built by engineers who've already shipped this in production.
It depends entirely on your traffic mix, and anyone quoting a percentage before measuring is selling. The harness produces your number in the first fortnight.
Not if quality is measured per class, which is the whole method. A class routes to a smaller model only when it passes the same bar.
No. It is configuration in your codebase, and the harness is yours. The point is that you can change providers without us.
Included where traffic repeats. It is usually the largest single saving and the least disruptive, so we look there first.
Evals, routing, and audit trails for teams whose demo cannot survive real traffic.
View serviceTracing and monitoring for LLM and agent systems, for teams who cannot explain what happened.
View serviceOpen models on your own infrastructure, for teams who will not call an API.
View serviceTell us where you are and what you're trying to ship. We'll come back with a concrete plan, the right engineers, and a path to production, not a generic pitch.