A UK consultancy that designs, builds and runs AI on hardware you control — private LLMs, search over your own documents, and automation with no cloud round-trip. Your data never leaves your walls; the answers come back faster.
No black boxes, no vendor lock-in. We work with open-weights models on hardware you control — and we benchmark everything on your data before it goes live.
Open-weights models — Llama, Qwen, Mistral, Gemma — running on your hardware or in our UK datacentres. Served over your own network, tuned to your latency and quality targets.
Search that answers from your own documents — contracts, manuals, tickets — with citations. The corpus stays local; nothing is phoned home to a cloud API.
We adapt models to your domain and language, then prove it: structured evals, side-by-side against your current tooling, before anything goes live.
AI agents that call your internal tools — ticketing, ERP, spreadsheets — inside your network, with human checkpoints where it matters.
Architecture that keeps personal data in the UK and under your control: local inference, local vector stores, and data flows documented for your DPIA.
Right-sized compute for the models you actually need — from a single workstation to a racked fleet. We host our own fleet of Apple silicon Macs in UK datacentres — see the full line-up.
We assemble a private AI stack that fits your data and your network: an open-weights model served on hardware you control, a vector index over your documents, and a thin API your existing apps already speak. Nothing in the path touches a cloud you don't own.
The local stack
one boundary · four hops · zero cloud calls
Start with a free phone consultation, then a fixed-scope discovery, then a build priced on your requirements. Every stage is written down before it starts — no hourly mystery.
A workflow you want automated, a model you want run privately, or a data question you can't sleep over — describe it and we'll give you an honest read on whether local AI is the right tool. Usually a reply within one working day.