A governed platform for teams deploying AI: inventory, risk classification, validation evidence and continuous monitoring against the EU AI Act. Built by a model-validation leader who ran it at enterprise scale.
Classify my AI system See pricingTurn AI Act compliance from spreadsheets and slideware into a governed system of record.
Register every model and use-case with owner, data, purpose and lifecycle. One source of truth.
Classify each system as minimal / limited / high-risk per AI Act Articles 6 & 9, with documented rationale.
Capture model-validation artefacts: performance, bias, robustness, drift — the model-risk file, done right.
Track drift, performance decay and incident events with audit trails regulators accept.
AI Act Art. 11/17 technical documentation and Art. 9 risk-management records, generated, not hand-built.
Resell under your own brand with multi-tenant isolation — your clients, your evidence.
Governance is only credible if the person behind it has done it at scale.
Recurring SaaS. No per-seat surprises. White-label available.
Map every control to the standards your risk and compliance teams already report against.
Describe your system and get a deterministic risk classification + the obligations that apply — instantly. (Parity with Holistic AI's risk calculator; not legal advice.)
Practical governance tips, refreshed by the platform. Subscribe via RSS.
High-risk systems must implement risk management (Art. 9), data governance, technical documentation (Art. 11) and human oversight (Art. 14). Start the evidence file before deployment, not after.
Risk class drives everything downstream. Run a deterministic classification the moment a use-case is proposed so obligations are known early.
Chatbots, emotion recognition and synthetic content carry transparency duties under Art. 50 — tell users they are interacting with AI.
General-purpose AI models carry provider obligations: technical documentation, training-data summaries and EU copyright policy compliance.
DNB/ECB and notified bodies expect evidence that stays current. A system of record beats point-in-time consultancy slideware.
Most enterprise risk teams already report against NIST AI RMF and ISO/IEC 42001. Reuse those control mappings instead of inventing a new taxonomy.
The questions buyers ask before they trust an AI governance platform.
Yes. MJ Heemskerk Holding operates under EU jurisdiction (Amstelveen, NL) and handles data under GDPR. Hosting and processing location are defined in your engagement and data-processing terms.
Consultancies deliver slideware and point-in-time audits. The platform is a system of record: the evidence, classifications and audit trails live with you and stay current as models change — no repeat engagements to re-prove compliance.
Structured, regulator-ready documentation: AI Act Art. 11/17 technical files, Art. 9 risk-management records, and model-validation evidence — exportable for DNB/ECB reviews and internal audit.
Yes. The White-label plan adds multi-tenant isolation and your branding, so consultancies and risk advisors resell governed AI governance under their own name.
Tell us about the AI systems you need to govern and we'll show you the platform on your data. We reply within one business day.
Betaal veilig via Mollie. TEST-MODUS — geen echt geld, gebruik de Mollie testkaart.
EU AI Act compliance voor kleine teams
Voor scale-ups met meerdere AI-systemen
Eigen branding, multi-tenant