From first prototype to production.

Agents that take real actions: they answer, look things up, update systems and hand off to a person when they should. We build them with evals, limits and an audit trail from the first week, so they can go live on real traffic.

The work between systems: reading documents, moving data, chasing approvals and writing the weekly report. We automate it with models where judgement is needed and plain code where it isn't, and we measure the result against how it runs today.

Your documents, tickets, wikis and databases turned into answers people can check. We build the retrieval, the pipelines that keep it current, and the evals that prove it's right before anyone relies on it.

The hard end of applied AI. Visual inspection, safety monitoring and models small enough to run on the device, offline and in real time. We handle the data, the training, the optimisation and the hardware constraints.

For founders and product teams building something AI-first. We design and ship the product, fine-tune or train models only where they beat prompting on your numbers, and take over pilots that stalled before production.