AI internal tools. The work most companies miss.

Moonlabs is what we are. Two operators — James Freestone and Louis O’Connell-Bristow — who run Homemove, home.co.uk and homedata.co.uk. Internal tools — quote prep, casework triage, ops monitoring, support drafts — run real work across the group every day. The patterns on this page are the ones we wrote to keep three companies running with a team a fraction of the size it would otherwise need.

The Academy is what we do. A twelve-week, in-person, twelve-student cohort in Derby. You build a real AI product. You sign a paid pilot on it. You write a deck and a financial model. You leave with a deployed system, a paying customer reference and a live investor pipeline — or, for internal-tool applicants, the same artefacts pointed at your own employer’s brief. Coding, Commercials, Investment — the three pillars taught in equal weight every week.

Why this page exists. Most companies’ first serious AI investment is not a customer-facing SaaS — it is an internal tool, the bit of software the team uses every day. The market for AI-native internal tooling is enormous and almost entirely silent: the people who build it well do not publish, and the people who sell against it (Retool, Zapier, n8n) are tools for a generation of internal work that already ships. You leave the Academy as the operator who can ship the AI — or as the founder of an internal-tooling product your employer would have paid a vendor a million pounds to build worse.