Evals, inference, custom models. One loop.

We build a test set from 50 to 100 of your anonymised transcripts, with rule-based scorers.

A score for every agent, on every release.

We run the test set across open and frontier models and serve the cheapest one that passes, in India.

The same answers at a fraction of the cost per task.

The misses the evals find become training data. We train a model on them, then score it again.

A model that is yours, and keeps improving.

Test set for one agent

Score today’s agent

Open model, then a custom model

Scores gate every release