Clapperton Labs

We build the AI that has to be right.

Clapperton Labs is an applied AI practice for teams who can’t afford a confident wrong answer.

01 / Why we exist

There’s a wide gap between an AI demo that impresses in a meeting and a system that holds up against real data, real edge cases, and a regulator asking what changed. Most projects die in that gap.

We started Clapperton Labs to work inside it. The bridge is measurement: benchmarks and evaluations that turn “it seems better” into “it is better, and here’s the proof.” That’s the difference between AI you can demo and AI you can ship.

02 / How we think

  • Correctness isn’t optional

    In a regulated domain, a plausible wrong answer is more dangerous than no answer at all.

  • Evals over vibes

    If you can’t measure a change, you can’t defend it, improve it, or trust it in production.

  • Build inside reality

    Your stack, your constraints, your compliance. We ship into the system you already run — not a greenfield beside it.

  • Honest about fit

    Sometimes AI isn’t the right tool. When the evidence says so, we’ll tell you — with the numbers to back it up.

03 / Who’s behind it

Theo Clapperton, Founder of Clapperton Labs, beside a Scottish loch

Theo Clapperton · Founder

Clapperton Labs was founded by Theo Clapperton, a technical lead and engineering manager who has spent his career shipping production software at national scale — award-winning platforms in healthcare and systems running in retail across the UK.

His recent work is in applied AI: building multi-agent LLM systems and guiding responsible AI adoption inside a regulated healthcare business. Clapperton Labs is where that experience goes to work for other teams — the same standards of correctness, measurement and delivery, applied to your hardest problems.

LinkedIn theoclapperton.co.uk

Let’s build something you can prove.

Tell us what you’re trying to extract, automate or fix.

theoclapperton@outlook.com