How to price an AI product.
Moonlabs is the operator-led AI Academy in Derby. We run three live companies — Homemove, home.co.uk and homedata.co.uk — and we teach twelve students per cohort to ship a real AI product, sell it to a real customer, and raise on it. Three pillars: Coding, Commercials, Investment. Twelve weeks. £6,000.
Moonlabs is what we are. Two operators — James Freestone and Louis O’Connell-Bristow — who have priced and re-priced our own products at Homemove, home.co.uk and homedata.co.uk over a decade. We have under-priced and lost the room, over-priced and learned what is actually defensible. The pricing intuitions on this page are the ones we have paid for in lost deals.
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. Coding, Commercials, Investment — the three pillars taught in equal weight every week. Pricing is the discipline that turns Coding into Commercials and makes Investment credible.
Why this page exists. AI product pricing is one of the most under-taught skills in the founder stack and the rules have changed twice in two years. Per-seat is increasingly unsuitable for AI features where one user can drive 100x marginal cost. Pure usage-based pricing is hostile to the buyer’s budget process. Outcome-based pricing is fashionable but hard to invoice against. You leave the Academy pricing the way operators do — quoting numbers that feel uncomfortable, watching the reaction, defending margin in front of a CFO.
Coding · unit economics built into the product
Margin per query, prompt caching, model tiering, batched generation, cost ceilings in code. The technical patterns that prevent the heavy-user trap (one customer costing 100x your average). A product with defensible unit economics by week eight — the bedrock pricing sits on.
Commercials · price higher, watch the reaction
90% of first-time AI founders under-price. We push you to a number that genuinely feels uncomfortable to quote, then run the real discovery call. The buyer’s next sentence tells you almost everything. By week three, pricing has been quoted in five live calls; by week six, repriced after a paid pilot. Pricing the operator way, not the LinkedIn way.
Investment · pricing is the model that closes
Investors do not back products with broken margin. The financial model is your pricing made legible to a partner read. ARR per seat, payback period, CAC payback, gross margin at the LLM-cost layer. Backed VC, Plural, Pi Labs and EF all underwrite pricing discipline as their primary diligence anchor. A model that survives diligence by week ten.
Common questions.
Should I use per-seat, usage-based or outcome-based pricing?
Honest answer: it depends, and most AI products converge on a hybrid. Per-seat as a budget anchor, usage-based for overflow, outcome-based as a separately-quoted premium tier. The right shape comes out of who the buyer is and what their procurement process actually tolerates — we teach you to read both.
What is a typical AI startup seat price in 2026?
The market for “AI for X function” SaaS sits in a wide range — £20-£500 per user per month, depending on tier, vertical and seriousness. The honest answer is “higher than you think, lower than enterprise SaaS”. The conversation matters more than the number.
How do I price for enterprise vs SMB?
Different products, often. Enterprise sales tolerate seven-figure deals with multi-year commitments; SMB tolerates monthly subscriptions at £49-£499. Trying to serve both with one pricing page is one of the most common AI-startup mistakes; we teach you to split them.
What about the unit-economics trap when costs are tied to model providers?
The trap is shipping a per-seat product where one heavy user costs you 100x your average. We teach the patterns — cost ceilings, prompt caching, model tiering, batched generation — that prevent this and the contractual language that protects you.
Is pricing a single moment or an ongoing exercise?
Ongoing. The strongest founders we know re-price every 18 months. The Academy teaches you to do this as a habit, not a panic.
More Academy entry points.
The Academy is one course with many doors. Each of these pages is a different entry point into the same twelve weeks.
How To Write An AI Business Case
How To Find Paying Pilots For AI Startup
How To Validate An AI Startup Idea
How To Pitch An AI Startup
How To Find A Co Founder UK
How To Build An AI Moat
Build it. Sell it. Raise on it. In twelve weeks.
Tell us what you would build and what number would feel uncomfortable to quote. James and Louis read every application personally and reply inside the week.
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