What it is: AIE provides expert advisory and mentoring that helps deep-tech health teams plan and de-risk the AI/ML dimension of their innovation. It is a knowledge-transfer service — not a data-processing engagement — drawing on 25+ years of biomedical AI experience.  

Duration: Flexible - from a single 2-hour session to a multi-week engagement (typically 3–10 expert days).  

Targets and sectors: EIC Pathfinder and Transition beneficiaries and Seal of Excellence holders in health, biotechnology, and digital health whose teams need to strengthen AI and data-strategy capabilities. 

Goal: To upskill founders and technical teams on specific, high-stakes AI topics, and to establish a sound data and compliance strategy before major resources are committed.  

Phases and activities: 

• (1) AI-readiness assessment of the team's data assets and intended use case; 
• (2) data strategy design (collection, harmonisation standards, analysis architecture); 
• (3) EU AI Act risk classification and compliance planning; 
• (4) regulatory documentation strategy for AI/ML Software as a Medical Device; 
• (5) guidance on selecting bioinformatics versus machine-learning approaches. Sessions are led by AIE's in-house senior scientists acting as mentors and instructors. 

Expected outcome: A written assessment and an actionable roadmap the beneficiary's own team can execute, plus upskilled staff. 

Implementation: Delivered online as structured mentoring sessions, each accompanied by a written deliverable.