The hub.

Private AI

A way of building AI systems where your data, the model, and the way it runs all sit inside your control.

This is the starting point. Four pages sit beneath it, each one answering a different question. Pick whichever is closest to where you are.

If you're asking why it exists.

Why Private AI?

Four things you trade away when staff use public AI tools for work, and how a private build resolves each one.

Read why →

If you're asking what it actually is.

What is Private AI?

A plain English breakdown of the three layers. What falls over when one is missing, and why most of what's sold under the name only covers part of the picture.

Read the explainer →

If you want to see what it can do.

Private AI Capabilities

Six things a private build can do that a public tool cannot. Each one is illustrated with a short clip from a real build.

See the capabilities →

If you're trying to decide.

Is Private AI Right For You?

An honest answer. For some organisations, yes. For many, the enterprise tier of ChatGPT, Copilot, or Claude is enough. This page is to help you tell which group you're in.

Read the honest version →

Get in touch

Tell me who you are and what your organisation does. If any of this sounds like your situation, that's a good place to start. I'll let you know honestly whether I can help. Even a 30 to 45 minute call often leaves people with a clearer picture of the path forward, whether or not we end up working together. From there it's whatever fits: sometimes you don't need me, sometimes a short piece of scoping work makes sense first, and sometimes you already know what you want and we get straight to the build. There's no set process you have to follow.

For context: I work mainly with UK charities and non profits, with chief executives, operations and finance directors, programme leads, and the people who look after data and IT. Respectfully, I don't work with recruitment or development agencies.