Foundation Research
Longevity AI
Using machine learning to decode the biology of ageing — at a scale and resolution impossible through traditional research alone.
What we study
We train models on large-scale biological datasets to identify the molecular signatures of ageing — from epigenetic clocks and gene expression patterns to mitochondrial function and cellular senescence markers.
Why it matters
Ageing is the single largest risk factor for almost every chronic disease. Understanding its biology at scale — something only AI makes feasible — is the fastest path to extending healthy human lifespan.
Our approach
We combine transformer-based genomics models with longitudinal health data to surface patterns invisible to conventional analysis. Every finding feeds back into a growing knowledge graph of longevity biology.
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