innovation

The Technology of Valuing What Matters

The AJAX architecture draws on ideas from federated (collaborative) learning,  ethical AI and heterogeneous dataset analytics  — and is capable of providing a secure and anonymous “distributed valuation" for personalised health research and care. This approach unlocks a plethora of applications, from mitigation of bias and compliance risks in clinical data collection, to gamification of patient engagement in clinical trials, and to project valuation in the monetary and health impact terms based on its intangible data assets.
  1. Real-time anonymised data comparison layer
  2. Seamless integration into existing decision support tools and workflows
  3. AI predictive analytics engine
  4. ESG metrics assessment and reporting 

Data value chain in Clinical Trials and Care

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