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Help set the standard for AI assurance in health

We're looking for 50 digital health suppliers to put their AI products through the AI Risk Profiler method and tell us what works.

You'll get a research report on your product at no cost. The method gets tested by the people it's built for.

This phase closes once we have 50 submissions, or at the end of November 2026, whichever comes first.

Limited to 50 supplier places

WHY THIS MATTERS

Everyone is asking the same question

Hospitals, commissioners and regulators all want to know whether the AI in your product is safe to use. Most suppliers answer with a mix of questionnaires, policies and reassurance, and every buyer asks it differently.

The AI Risk Profiler is designed to give everyone the same answer. It identifies what kind of AI a product uses, where the risks sit, and which controls matter. It's built to keep pace with how fast AI changes, not to wait years for a committee.

What you get

A research-stage AI risk profile of your product
A say in how the method develops
A place in the founding cohort of suppliers who shaped it

This is not

  • A certification, validation or badge

  • A score or ranking

  • A statement of regulatory compliance

Reports are self-certified and marked as research. Nothing about your product is published without your permission.

The AiRP method has been built with the people who'll use it

More than 40 clinicians, regulators, technologists, patient groups and health system leaders review the method as it develops, meaning these organisations are represented throughout the process to ensure it's relevant and appropriate.

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Designed to support compliance across global AI frameworks - not replace them

Regulatory & Standards Alignment
EU AI ACT
EU AI Act
Articles 9–17 risk management & transparency obligations
European Union
DCB 0129
DCB0129
Clinical risk management for health IT systems
United Kingdom
NICE ESF
NICE ESF
Evidence Standards Framework for digital health technologies
United Kingdom
GMLP
GMLP
Good Machine Learning Practice for medical AI
US · UK · Canada
FDA SaMD
FDA SaMD
AI/ML Software as a Medical Device guidance
United States
ISO 14971
ISO 14971
Medical device risk management standard
International
NHS AI Strategy
NHS AI Strategy
NHS England AI adoption & governance framework
United Kingdom
GET INVOLVED

Be part of the future of AI assurance in health

50 places. First come, first served.