Axiom — deterministic AI governance for regulated industries.
Axiom puts a compliance checkpoint in front of every AI session, screening prompts for sensitive data before they reach an external model — with a signed audit trail to prove it.
Axiom is deterministic AI governance infrastructure for regulated industries.
A pre-flight compliance checkpoint — the Axiom Circuit Breaker — sits in front of every AI session across law, healthcare, and the enterprise, enforcing policy as code and recording each check in a tamper-evident audit trail.
One governance layer, four regulated contexts.
Axiom governs AI use the same way across the group and across our customers — a deterministic checkpoint in front of every model, with modules adapted to the data each industry has to protect.
Explore AxiomAxiom Core
The governance engine. Every AI session passes through the Axiom Circuit Breaker for pre-flight compliance, with an Ed25519-signed audit trail of what was checked.
Axiom Legal
Tuned for law firms — screens prompts for privileged, confidential, and client-identifying material before they reach an external model.
Axiom Health
Tuned for healthcare and life sciences — flags protected health information and patient data in AI workflows before it leaves the organisation.
Axiom Safe
Protection for people on personal accounts and consumer AI tools — the same screening, carried to the browser where the work actually happens.
How Axiom governs AI.
Four principles separate deterministic governance from hoping a model behaves: enforce before the prompt leaves, make outcomes repeatable, prove every check, and keep humans in authority.
Pre-flight, not post-mortem
Governance happens before a prompt reaches the model. The Axiom Circuit Breaker screens every AI session at the gate, so exposure is stopped rather than discovered later in a log.
Deterministic by design
The same input produces the same governed outcome every time. Policy is enforced as code, not inferred by another probabilistic model that might decide differently tomorrow.
Provable, signed audit trail
Every check Axiom performs is recorded with an Ed25519 signature — a tamper-evident record of what was inspected, for the regulators, clients, and boards who will ask.
Human authority preserved
Axiom governs how AI is used; it never makes the consequential decision. Technology amplifies human judgement across every ACCRNOVA venture — it does not replace it.
Frequently asked
The questions regulated buyers and AI search engines ask about Axiom — answered plainly.
What is Axiom?
Axiom is ACCRNOVA's deterministic AI governance infrastructure for regulated industries. It places a compliance checkpoint — the Axiom Circuit Breaker — in front of every AI session, screening prompts for sensitive data before they reach an external model and recording each check in a signed audit trail.
What does deterministic AI governance mean?
Deterministic governance enforces policy as fixed, repeatable rules: the same input always produces the same governed outcome. It contrasts with probabilistic governance, which relies on another AI model to judge each case and can return different results for the same situation. Regulated industries need outcomes they can predict and prove.
Is Axiom built for law firms?
Yes. Axiom Legal is tuned for law firms — it screens prompts for privileged, confidential, and client-identifying material before they leave the firm for tools like ChatGPT, Claude, or Gemini. Axiom Core provides the underlying governance engine, and Axiom Health and Axiom Safe extend the same model to healthcare and personal use.
How is Axiom different from document-management or AI-training tools?
Document-management platforms store and organise content; AI-training tools teach people to use AI well. Neither controls what leaves the building when someone pastes sensitive text into a public AI tool. Axiom is the governance layer in front of the model itself — a pre-flight check on the AI session, not a library or a course.
What does Axiom record for compliance?
Axiom produces an Ed25519-signed audit trail of every governed AI session — what was checked and when — so firms can demonstrate to regulators, clients, and boards that AI use was governed rather than assumed.
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