AI systems for regulated industries. Built, trained and evaluated by one team.
We build production AI agents, voice assistants and workflows for fintech and healthcare, fine-tune models on your data, and run the evaluations that prove they’re safe to ship.
Four ways we work with you.
Custom AI solutions
Agents, document automation and retrieval, built into your systems with a human in the loop.
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AI voice agents
Voice assistants that handle calls to an approved protocol, work inside your systems and hand off to people with full context.
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AI model training
Curated datasets and fine-tuned models on your data, with before-and-after evidence.
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AI model evaluation
Eval suites, red-teaming and regression tests that show what a model gets wrong before customers do.
Learn more →Built for sectors where mistakes are expensive.
Fintech
Where we've seen agents and evaluations pay for themselves.
Healthcare
Clinician-supervised systems, never autonomous decisions.
Build, train and evaluate belong together.
Regulated AI has to be measured.
In fintech and healthcare, “impressive” isn’t a release criterion. Evidence is.
Off-the-shelf rarely fits.
Domain accuracy and data residency usually mean training on your data, in your cloud.
Hand-offs are where risk hides.
One team owning the model and its evaluation removes the gap between “it works in the demo” and “it works in production.”
From scoping call to production in weeks, not quarters.
Every engagement runs on your data and in your environment, with acceptance criteria agreed before we write a line of production code.
The full process →Scope
A 30-minute call, then a 1–2 week discovery sprint.
Prototype
On your real data, in your environment.
Evaluate
Against acceptance criteria we agree in writing.
Deploy and monitor
With hand-over or a retainer.
What we won’t tell you.
Tell us what you're trying to ship.
Thirty minutes with the founder. We'll tell you honestly whether we're the right team, and what it would cost.