Who we build for.
The economics of small models don't change by industry. What changes is the data we train on — and what your regulator, or your clients, expect to happen to it. Every page below is the same engineering pattern — evaluate, fine-tune, deploy inside your perimeter, monitor — aimed at a different workflow. Where we haven't shipped a vertical yet, we say so, show the published evidence, and prove the model on your data before you commit.
Compliance starts with custody.
- No new processor in your flow
- Your access controls keep applying
- Leak surface: removed
- Audit trail by default
We’re engineers, not your compliance advisers — the architecture keeps your existing compliance intact instead of adding a vendor to it.
See if the numbers hold in your workflow.
The Crit maps where a small model wins, where an API is fine, and where AI shouldn't be used at all. You get the numbers either way — and if your workload doesn't clear roughly 50M tokens a month with no privacy constraint, we'll tell you a frontier API is probably fine.