The standard
A published reference for what a governed AI deployment looks like, and the school that teaches you how to build one.
Regulayer Class defines what a governed AI deployment looks like, modelled on the standards that already govern contamination control: ISO 14644 for semiconductor cleanrooms, and USP 797 for sterile compounding. Each class is a published verification floor.
Operators self-attest conformance against the standard. The attestation is signed, and any third party can verify it. Regulayer does not audit. The floor is public, the proof is portable, and the check belongs to whoever you hand it to.
Three classes. Each one a verifiable floor.
Behavioural drift is measured continuously, every governed decision produces a record built to support admissibility, and the provenance of every output is tracked from creation through delivery.
The entry floor a buyer can verify. For most enterprise AI deployments.
Everything in Class 1, plus continuous operator attestation and runtime proof. The operator attests, the system measures itself, and both seal into the same decision.
For regulated industry, clinical decision support, financial automation, and legal AI inside firms.
The full kernel runs in architectural isolation. No data leaves the deployment, and the verifying body is not employed by the deployer. The highest floor.
For physical AI, healthcare, defence, export-controlled and sovereign deployments.
Same name. The school.
A practitioner pathway built on the same three floors as the standard.
Eight modules, a recognised reading list, and a capstone deployment audit. Open enrollment.
Procurement leads, compliance officers, AI buyers, counsel evaluating vendors.
Live sessions, a written exam, and a working deployment assessed against the Class 2 floor.
Technical architects, regulated-industry leads, data-protection officers, in-house counsel.
Cohort and mentor pairing, a full architecture review of a candidate deployment, and an independent assessor.
CTOs, heads of AI governance, sovereign and defence leads, certifying auditors.
Each class maps to the subsections an enterprise already operates under. Meet a class, and you have the evidence those subsections call for.
When a powerful technology arrives, gatekeeping does not work.
So we do not restrict who can build governed AI. We define what governed AI looks like, and we teach it. The standard is published as a reference. Regulators, standards bodies, and governance institutions are welcome to read it, cite it, and build on it.
Define the floor. Teach it. Let anyone check.
Regulayer produces tamper-evident evidence mapped to a named regulation. It is evidence input, not a compliance certification, attestation, or legal determination, and not a SOC 2 report, ISO certification, or audit opinion. Operators self-attest to a class; Regulayer does not audit. Confirm deadlines and citations with counsel for your jurisdiction.