Regulayer Class™ · Coming soon
A published reference standard·Self-attested·Receipt-verified
Regulayer Class is the reference standard that defines what a governed AI deployment looks like. It is also the school that teaches you how to build one. Same standard. Two surfaces.
The double meaning
A deployment is Regulayer Class 1, Class 2, or Class 3 based on which layers of the kernel are active and how the architecture is verified. A person becomes a Regulayer Class Practitioner by passing the course and the assessment for that class.
The standard
Modelled on ISO 14644 for semiconductor cleanrooms and USP <797> (2023 revision) for sterile compounding. Each class is a published verification floor. A deployment that meets the class self-attests to that class. Buyers, insurers, regulators, and counsel can read the attestation without contacting the deployer.
Regulayer Class is the published cleanroom reference for AI. Operators self-attest conformance against the standard. Attestations are signed and verifiable by any third party. Regulayer does not audit, accredit, or certify third parties.
Regulayer Class 1
Required architecture
DriftLayer · DriftLedger · OriginLayer
What it guarantees
Behavioral drift is monitored continuously. Every governed decision produces a court-admissible record. Provenance of every output is tracked from creation through delivery.
Suitable for
Most enterprise AI deployments. The entry floor buyers can verify.
Regulayer Class 2
Required architecture
All of Class 1 · StateLayer · ProofLayer
What it guarantees
Adds continuous operator-state inference and runtime proof. The system reads the operator and the model in the same decision.
Suitable for
Regulated industry, clinical decision support, financial decision automation, legal AI inside firms.
Regulayer Class 3
Required architecture
All eight kernel layers active · CleanLayer isolation verified
What it guarantees
The full kernel runs in architectural isolation. No data leaves the deployment. The verifying body is not employed by the deployer. The highest verification floor.
Suitable for
Physical AI, healthcare AI, defence, export-controlled environments, sovereign deployments.
The classes
A practitioner pathway built on the same three floors as the certification standard. Self-paced for the foundation. Cohort-based for the intermediate. Architect-level for the cleanroom. Each course ends in a verifiable Regulayer Class Practitioner badge, signed and held by the practitioner.
Class 1 Practitioner
Format
Self-paced. Eight modules. Recognised reading list. Capstone deployment audit. Open enrollment.
For
Procurement leads, compliance officers, AI buyers, counsel evaluating vendors.
Class 2 Practitioner
Format
Six-week cohort. Live sessions. Written exam. Working deployment assessed against the Class 2 floor.
For
Technical architects, regulated-industry leads, DPOs, in-house counsel for AI-deploying organisations.
Class 3 Architect
Format
Twelve-week programme. Cohort and mentor pairing. Full architecture review of a candidate deployment. Independent assessor.
For
CTOs, Heads of AI Governance, sovereign and defence deployment leads, certifying auditors.
Maps to
Each Regulayer Class is mapped to the existing standards an enterprise already operates under. A Class 1 deployment satisfies the relevant subsections of these standards by default. A Class 3 deployment carries the cleanroom certification across all of them.
ISO 9001
Quality management for the deployment as a whole. Class 1+.
ISO 27001
Information security across the AI surface. Class 2+.
ISO 14644
Cleanroom classification, applied here to architectural cleanroom. Class 3.
USP <797> (2023 revision)
Sterile-compounding contamination control. The founding principle of the kernel.
FDA 21 CFR Part 11
Electronic records and signatures. Class 1 covers by default.
EU Annex 11
Computerised systems in regulated environments. Class 1 covers.
EU AI Act Article 9
Risk management for high-risk AI. Class 2 covers.
EU AI Act Article 15
Accuracy, robustness, and audit. Class 1 covers.
The CRISPR principle
When a powerful technology arrives, gatekeeping does not work. Education does. The way CRISPR was brought safely into hospitals and laboratories was not by restricting access. It was by teaching the standard until everyone working with it spoke the same language.
Regulayer Class is the same move applied to AI. We do not restrict who can build governed AI. We define what governed AI looks like, and we teach it.
The standards-body model
Regulayer Class is structurally enabling, not exclusionary. The model is the standards-body pattern that built modern electrical safety, authentication, and connectivity infrastructure — Underwriters Laboratories for electrical products, FIDO Alliance for authentication, the Bluetooth SIG for wireless, the Wi-Fi Alliance for connectivity. Anyone can certify. The mark is open to any deployment that meets the standard.
The classification is published. The methodology is public. Operators self-attest against the standard at Class 1. Independent assessment is available at Class 2 and Class 3 for organisations that require it. The intent is to grow the population of governed AI deployments, not to gate it.
The Regulayer architecture itself remains the technical floor that makes the standard meaningful. The standard is open. The architecture is licensed separately.
Be the first to enrol
Regulayer Class launches with the estate.
The certification framework and the first foundation course open together. Write to be added to the launch list. We will reach out when the first class opens.
class@regulayer.comAn open invitation
Regulayer Class is published as a reference. We welcome regulators, standards bodies, legislative offices, and governance institutions to read it, cite it, and build on it. The architecture is already written.
class@regulayer.com