Requirements
What the model needs to do, how many people use it and where the data must stay.
Some data shouldn't go to an outside AI provider at all: client files, health records, legal documents, unreleased designs. Open-weight models can run on infrastructure you control, in the UK or EU, so nothing leaves. We help you choose a model, set it up and connect it to the tools your team uses.
What the model needs to do, how many people use it and where the data must stay.
Open-weight models such as Llama, Mistral, Gemma, Qwen or OpenAI's gpt-oss, tested on your own tasks.
A set-up you control, on your own hardware or private cloud servers in the UK or EU, sized for your usage.
Search over your own files, so answers draw on your information without it leaving.
A chat interface and connections to your tools, with sign-in and permissions.
Access controls, logging and a plan for updating the model and software.
For many everyday tasks, like drafting, summarising and searching documents, a good open-weight model does the job well. For the hardest reasoning tasks, the top commercial models are still ahead. We test on your tasks so you can judge for yourself.
It depends on the model size and how many people use it. There's a set-up cost and a running cost for the hardware or servers. We'll compare it with paying a commercial provider before you decide.
Yes, and many businesses should. Sensitive work goes to the private model; everything else can use the commercial tools your team already likes.
Tell us what kind of data you handle and what you'd want the model to do. We usually reply the same working day.