The ML-platform team you don't have to hire — for your AI configs.
Head every workload toward its best proven configuration, and keep it there as models and prices move. You approve what "better" means; Metrx runs the trials and, under your authority, the switching.
Nobody owns whether each workload is still on the right config.
Metrx owns the loop: propose, prove, apply, watch — under your acceptance contracts.
Config changes need a review, a rollout plan, and a rollback story.
Bounded exposure, automatic breakers, and a restored incumbent come standard.
A model release could silently regress a workload for weeks.
Incumbents get re-verified on release before your traffic feels the change.
Two loops, always running.
Find, prove, and apply better configurations.
Generate candidate configurations — model, prompt, parameters, routing — and prove model and route switches with pre-registered randomized trials on your traffic. Promotion only follows causal evidence.
Guard every configuration that's already live.
Watch every live configuration for drift, re-check incumbents when a provider ships a model release, and roll back when a breaker trips. The last proven config is restored automatically.
Negative and inconclusive trials stay in the ledger — never retried until positive. Walk the same evidence a reviewer would.
Explore a live workspace →Put every workload on its best proven configuration.
Connect a workload, approve an acceptance contract, and let the loops run.
Figures shown in the demo workspace are synthetic. Every number carries its provenance.