Company
A Manchester company turning the regulation that governs AI into something an enterprise can hold: a live, cited record of every obligation.
The founders
AI governance sits at the seam between law, machine learning, and systems engineering. We put those disciplines on the same team and point them at the same record.
Why we exist
AI is now governed by hundreds of overlapping instruments across dozens of jurisdictions, and the number climbs every quarter. Most organisations meet that with documents: policies written once, filed, and out of date the moment a system changes. The exposure sits precisely in the gap between what the rules require and what a company can show it did.
We think that gap closes only one way, by treating regulation as data. Decompose each regime into its atomic obligations, trace every one to the article or annex that demands it, bind it to the control that satisfies it, and keep the whole thing live. That is the difference between asserting compliance and evidencing it, and it is the company we're building.
How we work
The details
If you're press or an investor, reach us through Contact.
White paper
Most organisations carry AI exposure they cannot yet measure or manage, and they are already paying for it. The cost arrives in forms nobody books against AI: higher insurance premiums, longer procurement cycles, audit findings, and contracts lost to competitors who could answer the customer’s questions. None of this shows up as a line item, so it rarely gets attention. Pricing that risk starts with understanding it, which means knowing which systems are in use, what obligations attach to them, and where the gaps are. Without that, every figure is a guess.
