Evaluation and benchmarking
Blind-scored test sets and repeat runs, so you know how a model performs before it ships and after every change.
03 / Enterprise AI
Some work can’t go to a public AI service: private data, regulated decisions, languages general models handle badly. We deploy and train models that run in your environment.
What we build
Open-weight models served on your hardware or private cloud, sized to your call and document volume.
Learn moreModels adapted to your task, documents and language, trained on curated examples from your own work.
Learn moreBlind-scored test sets and repeat runs, so you know how a model performs before it ships and after every change.
Speech recognition and voice for languages general models handle badly, trained further on your own calls.
Learn moreHow we measure it
Every model is evaluated against a baseline before it ships. Later changes are scored on the same test set, so you’re comparing like with like.
How it runs
We sit with the people who do the work today and map the process as it actually runs.
Time, errors and cost for the task as it is now, written down before we build anything.
Working software early, reviewed with you as it develops.
After launch we measure the same things again, so the result is a number, not an opinion.
From the blog

Security and compliance · 7 Aug 2026 · 6 min read
A debugging order for Supabase row-level security when policies seem ignored or block everything, including the service-role trap and the tests that prove it.

Security and compliance · 6 Aug 2026 · 6 min read
A calm, ordered playbook for the hour after you discover an API key leaked: rotate the right things first, read the logs, and purge the key from history.

Security and compliance · 4 Aug 2026 · 8 min read
A diagnostic guide for the app that works perfectly on your account and breaks for every other user, including the security problems hiding behind the symptom.
Related
Questions
That depends on what you need. Models can run on your own infrastructure or a private cloud, so data never leaves your environment. Where a hosted model fits better, we tell you exactly what it sees.