Services · 05

Self-hosted AI, on your premises

AI capability without the data leaving the building: we design and build on-premise AI systems — the hardware, the open models and the plumbing that connects them to your documents, email and ERP. Consultancy first, hardware second, no hype at any point.

Self-hosted AI — system specification CW-203 Rev A Sheet 04
No.PropertyValueRemark
01Data locationYour buildingNothing sent to a cloud AI provider — that is the design goal
02DeliveryDesign & buildHardware specification, model selection, integration, handover
03ModelsOpen weightsLlama, Mistral, Qwen and similar — chosen for the job, not the brand
04AftercareManagedMonitoring, updates and support under the same contract as your IT

We also roll out Microsoft Copilot, Claude and Codex where cloud AI is the right answer — the point is choosing deliberately, not defaulting.

How it starts

Why on-premise, and why now

Some businesses can't send data to cloud AI services — client confidentiality, regulatory exposure, commercial caution — and until recently that meant no AI at all. That's changed: open-weight models running on a single well-specified server now handle document drafting, search across your own files, meeting summaries and process automation to a standard that would have needed a cloud subscription two years ago. The hardware sits in your rack; the model reads only what you point it at; nothing leaves.

An engagement starts with consultancy, not a purchase order: where AI genuinely saves time in your business, where it doesn't, and whether the honest answer is a cloud rollout, an on-premise build, or nothing yet. If a build makes sense, we specify the hardware, install the models, wire them to your systems — Microsoft 365, file shares, SAP Business One — and train your staff on what it can and can't do.

What it costs

A one-off design-and-build project plus an optional monthly management agreement. Capable entry hardware starts in the four figures, not the six your board might fear — but every build is quoted after the consultancy, because the model and the workload set the spec. Call us for a straight conversation.

Who it suits

Asked often

Before you call

Is a self-hosted model actually good enough?
For most business workloads — drafting, summarising, searching your own documents, automation — yes, demonstrably. We'll show you the same task on cloud and self-hosted systems and let you judge.
What hardware does it need?
Typically one GPU server, specified to the workload. We supply it configured, or run the system on kit you already own if it's up to the job.
Who maintains it after handover?
You can, with our documentation — or we manage it under the same agreement as the rest of your IT. See managed IT support.
The call

Start with the consultancy, not the kit

Tell us what you'd want AI to do and what your data rules are. We'll tell you honestly whether self-hosting earns its keep.