Prevalent AI raises $22M — nine years in, and profitable

Prevalent AI, a London company, has raised $22M — about £16M — in a growth round led by the US firm Integrity Growth Partners. What makes the deal unusual is not the size but the story behind it: Prevalent was founded in 2017, says it has been profitable since its first customer, and has grown for nine years on customer demand alone. This is the first outside money it has ever taken.

That is a rare shape for an AI company, most of which raise early and often. Prevalent’s pitch is also refreshingly unglamorous. It builds what it calls a security data fabric: software that pulls together the hundreds of scattered, messy data sources inside a large organisation and turns them into a single, continuously updated knowledge graph that security teams — and, increasingly, AI agents — can actually query. The company frames the problem as “trusted enterprise context”: AI is only as good as the data it can see, and in most big companies that data is a fragmented mess.

The team carries serious weight. Founded by CEO Paul Stokes and COO Arun Raj, Prevalent’s bench includes former GCHQ director Sir Iain Lobban and Andrew France, once GCHQ’s Deputy Director for Cyber Defence Operations and a co-founder of Darktrace. That intelligence-community heritage is a recurring feature of British security AI, and it is part of why the UK punches above its weight in the field.

The money will go into building a proper commercial engine — sales, marketing, and customer success, having sold founder-led until now — and a larger US presence, alongside extending the platform beyond cybersecurity into financial crime, compliance, and wider operational risk. The company says its annual recurring revenue has more than doubled in the past year.

Two things make this worth noting beyond the headline. First, it is another example of the plumbing beneath the AI boom drawing real money: not a flashy model, but the data infrastructure that determines whether enterprise AI works at all — the same unglamorous-but-essential territory as securing AI-written code. Second, it is a US growth investor writing a cheque into a profitable British company, a pattern we are seeing more of as American capital looks across the Atlantic for AI businesses with real revenue rather than just ambition.