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Standard Intelligence is a Manchester company turning the regulation that governs AI into something an enterprise can actually hold: a live, cited, machine-readable record of every obligation, and the evidence that each one has been met.
Governance is a record you can produce on demand, not a claim you make in a policy. Everything we build ends in an artefact.
We track duties, not documents. One control, mapped correctly, can satisfy many rules across many regimes at once.
Our methodology and our numbers are published. The corpus is research-grade and internally audited, and we say so plainly.
We aim at the hardest cases, the systems and sectors where getting it wrong is expensive, not the easy demonstrations.
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.
Practitioners who read the consolidated text, track transposition, and know which obligations actually bite.
Researchers building the decomposition and retrieval that turn dense regulation into a queryable, cited graph.
Engineers making the record live: bound to real systems, tamper-evident, and maintainable as everything changes.
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 Most organisations meet that with documents: policies written once, filed, and out of date the moment a system changes.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.
Leads the commercial motion, the research and authority engine, and the raise, and developed the regulatory corpus that runs beneath the platform. Roughly twenty-five years of enterprise technology sales across MongoDB, Palantir, and Citrix, selling complex platforms into regulated businesses, and the author of five books on AI regulation. Co-inventor on the pending patent.
Leads the platform and the security and certification posture. Co-inventor on the pending patent GB2604505.4, and the engineer behind the Intelligence Centre, the Integrity Engine, and the GraphRAG graph and resolution infrastructure. Owns the corpus depth and the chain-of-custody evidence that make the platform defensible.