The data ethics layer for health AI
We research and develop a technology for health data evaluation that is based on collaborative machine learning, visual analysis of clinical decision making networks, and Human-Centred Computing principles.
Unlocking the value of data for health innovation
- Data quality and bias prediction
- Fair contribution assessment across data value chains
- Data as an asset class for project valuations
- Reliable metrics to build user engagement and trust
- Health Economics models augmented by AI
- Standards and best practices for regulatory compliance
All-Parliamentary Group for Longevity
AJAX was selected as one of the three case-studies by the APPG Open Life Data working group. Download the report.
Unlock the power of collaborative technology combined with our network of medical and research experts for your consortium.