Reduce token spend by 90%

Automaticly route to the right model based on the task, latency, quality and cost.

Your app calls the API with sansa-auto as the model.

MMLU-Pro Benchmark

Routing that wins on benchmarks

Sansa routing beats all frontier models on MMLU-Pro accuracy.

Portrait cost versus quality chart for narrow screens, highlighting sansa-auto among high-accuracy models on a trimmed cost axis

Better agents every day

Your eval results feed back into the router, so your agents improve and your metrics climb while you sleep.

Self-improving routing loop connecting requests, evals, and the router, with a center card showing eval pass rate up 31 percent over 90 days and cost decreasing

Know exactly what ran, and why

Every model match is logged, so you can debug issues and track performance over time.

Routing decisions log listing routed models such as claude-4.8-opus with latency and cost, plus a match score overlay at 94 percent strong match after considering 12 models