The whole system, not a wrapper

It has never been easier to put a chat box in front of a large language model and call it a product. That's exactly why it's worth saying plainly what we do differently: we build the whole system the domain needs, and use AI where it earns its place.

A wrapper inherits the model's weaknesses

When the product is the prompt, every limitation of the underlying model becomes your limitation. It will confidently invent things. It has no memory of your business. It can't be held to a standard it was never built to meet. You can paper over some of that with clever prompting — but you're decorating a foundation you don't own.

Build for the domain first

The domains we work in — markets, law, media, the enterprise — each have their own rules, their own definition of “correct,” and their own cost of being wrong. So we start there: the data, the evaluation, the safety boundaries, the interface a professional actually wants. The model is one component inside that system, not the system itself.

The test is simple

Could you trust it with real work? That question is harder to pass than it sounds, and it's the one we hold every product to before it ships.