Integration, not a rebuild

The most common and most wasteful AI mistake is assuming you need a whole new product to use AI. Usually you do not. If you already have a product in production, the highest-return move is to integrate a single well-chosen AI capability into it — and only expand once that one is proven.

We start by finding the capability that removes the most cost or friction: an assistant grounded in your documentation, search that finally works on a large catalogue, or automation of a repetitive manual step. We integrate that into your existing stack rather than requiring you to rebuild around it.

This keeps the risk low and the value concrete. One capability, engineered properly and grounded in your real data, beats a sprawling AI roadmap that never ships.

The model is the easy part

Choosing a model is not the hard part of AI integration — grounding it in your data and wiring it reliably into your systems is. An assistant that answers from general knowledge instead of your real content will confidently mislead your users, and an integration that is not engineered properly will be flaky in exactly the moments that matter.

We build on leading production models, including Claude, chosen per task, and put the engineering effort where it counts: retrieval over your real data, clean integration into your stack, and reliability in production. That is what turns an AI demo into something you can put in front of customers.

Fixed price, integrated, owned outright

We work to a fixed price: from 16,000 GBP for a focused integration of a single high-value capability, from 30,000 GBP for multiple capabilities across your product and workflows. AI inference is passed through to you at cost, never marked up.

And you own the work: the code, the integration, and the AI configuration, handed over on delivery. It becomes part of your product, not a service you rent from us indefinitely.