An applied-AI company, built on evidence.

Most “AI products” are a general model with a prompt on top. We work the other way around: we build the system the domain actually needs — the data, the evaluation, the safety, the interface — and use AI where it earns its place.

That means a trading engine that only trusts a signal once it survives honest backtests; a legal platform built for how lawyers actually work in three languages; a media tool that ships finished clips, not suggestions. Different domains, one standard: it has to be good enough to rely on.

The hard part is rarely the model. It is knowing what “correct” means in a particular profession, being honest about whether you have achieved it, and designing so that the expensive mistake cannot be made in the first place. That is where our engineering effort goes.

We are deliberately a small, senior team. Most of what we build is reviewed, challenged, and measured before it reaches anyone — because software that acts on your behalf should be held to a higher standard than software that merely suggests.