What We Do
Engineering organisational intelligence through advanced analytics, applied data science and AI.
Who We Are
The Braidr AI Maturity Index
Your AI strategy is already public. Whether you meant it to be or not.
Every company in the FTSE 350 has already told the market how mature its AI capability is – not in a strategy update, and not always on purpose.
It’s in the annual report, the job postings, the press releases, the systems visibly running in production. We scored all 350 against that public record, not against what any of them would say if you asked. The findings say more about the market than most of it would choose to say about itself.
AI Maturity Index of the FTSE 350
Every FTSE 350 company scored across five pillars: AI Strategy, Data & Insight, Content, Product & Service, People. Ranked, benchmarked against sector, with an individual report for every company. Built from public evidence, so what you’ll read is what the market already sees.
AI maturity is never one thing. AI.M.E. scores every organisation across five interconnected pillars: AI Strategy, Data & Insight, Content, Product & Service, People. Each has its own maturity curve, its own sector benchmarks, and its own binding constraints on everything else.
Weakness in any single pillar drags on all the others. Improvement requires coordinated investment, not isolated initiatives.
The five pillar scores combine into one weighted composite, mapped to our 5 A's maturity curve: from Analogue, through Automation, Adoption and Acceleration, to Augmentation. That tells you not just how you compare, but where you actually sit on the journey.
See where you scoreHow we built it
Know where you stand on AI, before your competitors.
Everyone’s talking about AI. AI.M.E. measures who’s actually doing it. It’s our multi-agent research system that evaluates AI maturity from the outside: reading public sources, scoring organisations across five pillars and 180+ criteria, and mapping them against the 5 A’s maturity curve. Every finding is sourced, benchmarked and board-ready.
James Wolman has published exactly how it works: the evidence base, the scoring model, and the rule that makes it trustworthy. The model is never the source of a fact.
Head of Data Science
See where you stack up
350 companies. Five pillars. One score each, in full public view. Yours is already in there.