On your servers
Models served on your own hardware, next to the data they need.
Enterprise AI / Private deployment
For data that can’t go to a public AI service: open-weight models running on your own servers or private cloud, sized to your volume and tested before go-live.
What we build
Models served on your own hardware, next to the data they need.
A dedicated environment in your cloud account, with nothing shared.
Hardware and model chosen for your real request volume, so it’s fast enough without paying for idle machines.
Access control, logging and monitoring, so you know who asked what and how it performed.
How we measure it
Before go-live we load-test the system and score the model on your own cases. After launch we keep reporting the same numbers.
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.