Numalis

Numalis

paid

Numalis helps critical industries deploy trustworthy AI through structured governance, competency certification, and formal model validation aligned with the EU AI Act and ISO standards.

About

Numalis empowers organizations in high-stakes industries to transform AI projects into certified, compliant, and operationally reliable systems. Rather than treating AI as a black box, Numalis applies a systematic, standards-based approach built around three pillars: Formalized Governance, Certified Competencies, and Validated Systems. On the governance side, Numalis helps organizations build AI management systems aligned with Article 9 of the EU AI Act and ISO 42001, integrating AI risk controls into existing Quality Management Systems (QMS) with auditable documentation. For competency certification, Numalis maps organizational AI knowledge gaps and delivers role-appropriate training leading to certification under AFNOR SPEC 2401 and Article 4 requirements, via its AICET platform. For model validation and explainability, Numalis uses its SAIMPLE platform to formally validate AI models per ISO/IEC 24029-2, define operational domains, and generate explainability reports required by Article 15 of the AI Act. Numalis actively participates in ISO/IEC and CEN-CENELEC standard-setting bodies, giving clients a strategic advantage in anticipating regulatory requirements. The company serves defense, aeronautics and space (with EASA and Airbus), rail, nuclear, and banking and insurance industries. Numalis is ideal for enterprises and public organizations that need rigorous, certifiable AI deployment in regulated or safety-critical environments.

Key Features

  • AI Governance Structuring: Helps organizations build AI management systems compliant with the EU AI Act (Article 9) and ISO 42001, with auditable documentation integrated into existing QMS frameworks.
  • Competency Mapping & Certification (AICET): Maps organizational AI knowledge, provides role-appropriate training, and certifies key personnel according to AFNOR SPEC 2401 and EU AI Act Article 4 requirements.
  • Model Validation & Explainability (SAIMPLE): Formally validates AI models per ISO/IEC 24029-2, defines operational domains, and produces explainability reports required by the EU AI Act Article 15.
  • International Standards Contribution: Active member of ISO/IEC and CEN-CENELEC bodies, giving clients early insight and strategic advantages in meeting evolving AI regulatory requirements.
  • Critical Industry Specialization: Deep expertise in defense, aeronautics & space, rail, nuclear, and banking sectors, including work with EASA and Airbus on embedded AI certification.

Use Cases

  • A regulated financial institution needs to validate its credit-scoring AI model for robustness and explainability before regulatory audit — Numalis provides formal validation and documentation via SAIMPLE.
  • An aerospace manufacturer must certify embedded AI systems for compliance with EASA requirements — Numalis supports the validation process in collaboration with aviation authorities.
  • A defense organization wants to ensure strategic AI autonomy in mission-critical embedded systems — Numalis validates frugal, embedded AI models for operational deployment.
  • A large enterprise needs to build an ISO 42001-compliant AI governance framework integrated with its existing QMS — Numalis structures the management system and prepares auditable documentation.
  • An organization must certify key AI personnel under EU AI Act Article 4 requirements — Numalis maps competency gaps, delivers targeted training, and issues certifications via AICET.

Pros

  • Standards-Based, Certifiable Approach: Numalis anchors every service to recognized international standards (ISO 42001, ISO/IEC 24029-2, AFNOR SPEC 2401), ensuring outputs hold up to regulatory scrutiny.
  • End-to-End AI Compliance Coverage: Covers governance, personnel certification, and model validation in one coherent framework, reducing the need for multiple separate vendors.
  • Critical Sector Expertise: Proven track record in safety-critical environments like aerospace (EASA), defense, and nuclear where AI failure has serious consequences.

Cons

  • Enterprise-Only Focus: Services are tailored to large organizations in regulated industries; not suited for startups or small businesses looking for lightweight AI tools.
  • No Self-Serve or Transparent Pricing: As a consulting and professional services firm, pricing requires direct engagement — there is no self-service or publicly listed pricing tier.
  • Primarily European Regulatory Focus: Much of the compliance framework is centered on the EU AI Act and European standards bodies, which may be less directly relevant to non-EU organizations.

Frequently Asked Questions

What is Numalis and who is it for?

Numalis is an AI governance and validation company serving critical industries such as defense, aerospace, rail, nuclear, and banking. It is designed for large enterprises and public organizations that need to deploy AI in regulated or safety-critical environments.

How does Numalis help with EU AI Act compliance?

Numalis provides structured support for Articles 4, 9, and 15 of the EU AI Act: Article 9 (risk management systems), Article 4 (AI literacy and competency), and Article 15 (explainability and robustness). It produces auditable documentation aligned with ISO 42001 to satisfy regulatory requirements.

What is AICET?

AICET is Numalis's platform for mapping, training, and certifying AI competencies within organizations, aligned with AFNOR SPEC 2401 and EU AI Act Article 4 requirements.

What is SAIMPLE?

SAIMPLE is Numalis's platform for formal AI model validation and explainability. It validates models according to ISO/IEC 24029-2 and produces the explainability reports required under EU AI Act Article 15.

Does Numalis work with international standards organizations?

Yes. Numalis is an active contributor to ISO/IEC and CEN-CENELEC standardization bodies, which informs its methodology and gives clients an early advantage in understanding and implementing evolving AI regulations.

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