A model-driven development platform for regulated AI — compliance requirements defined once, controls generated automatically, enforced at build time, and proved on every release.
When a company uses AI, regulators now require proof that the AI behaves safely and legally — not just a promise. Think of it like a building inspection certificate: you can construct a building without one, but you cannot open it to the public. Seirios is the inspection system for AI software. It automatically checks every version of the AI, generates a tamper-proof record of every decision, and stops the software from going live if it fails — before a regulator ever shows up.
Think of Seirios as the compliance infrastructure layer for AI — the same way a bank uses a core banking system for financial controls. Works out of the box for EU AI Act, GDPR, NIST AI RMF, and MAS TRM — swap regulation profiles without rebuilding.
Your compliance team formally defines AI risks — for GDPR, EU AI Act, NIST — in a structured model. The platform mathematically verifies every definition is complete and consistent before any code is written.
Compliance rules are automatically translated into software controls. Developers cannot deploy code that violates a rule — the build system rejects it. Zero hand-written compliance code.
AI-powered guidance explains which rules apply to each piece of code, what is required, and what is forbidden — inline, at coding time. Compliance becomes part of the experience, not an afterthought.
On every code change, an automated agent checks that compliance rules are still being followed across every code path and generates a scored report. Merges are blocked if any check fails.
Here is what Seirios does — week by week.
The DPO and compliance officer define risks: bias in lending decisions and leakage of sensitive applicant data. The platform checks their rules are complete — no gaps, no contradictions. A verified compliance blueprint is produced.
Software controls are generated directly from the compliance blueprint. The lending system's code physically cannot approve a loan without running a bias check and logging the decision. If a developer skips a step, the system refuses to build.
When any developer touches the lending code, their coding tool explains which rules apply, what they must do, and what is forbidden — in plain language, inline. A missing audit log is caught before the code is submitted for review.
Every time a change is proposed, an automated check re-runs the full compliance suite. The team receives a score and the release is blocked if any rule is not covered. The result is stored as auditor-ready evidence.
When the regulator asks: the bank presents a 4-layer evidence package — blueprint, code proof, developer logs, and a compliance score from every release.
| Competitor | Formal Risk Verification | Auto-Generated Controls | Immutable Audit Trail | Developer Guidance (IDE) | EU AI Act Ready | Continuous Testing |
|---|---|---|---|---|---|---|
| Seirios | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| OneTrust | ✗ | ✗ | ✗ | ✗ | ~ | ✗ |
| CrowdStrike | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ |
| GitHub Copilot | ✗ | ~ | ✗ | ✓ | ✗ | ✗ |
| Fiddler AI | ✗ | ✗ | ✗ | ✗ | ✗ | ~ |
Two demo paths — one for compliance teams, one for engineering.
Start with a design partner pilot. Scale as your compliance needs grow.
A structured, founder-led engagement on your codebase. Full 4-layer platform deployed against your real AI system — producing a regulator-ready evidence package backed by a tamper-proof on-chain audit trail. Enforcement powers are active now; the penalty regime has applied since August 2025. Pilot fee credited against your first quarter of subscription on conversion.