Proprietary human data meets frontier AI and hands-on applications used by millions.
Models trained on biological and human results, not claims.
Multi-scale human biological datasets spanning genomic, proteomic, and phenotypic modalities — generated through applications already embedded in the daily workflows of millions. Not publicly available. Always growing.
Purpose-built pipelines that translate foundation model outputs into clinically actionable prediction. Every consumer interaction refines the signal. Every outcome sharpens the model.
Deployed applications compound data at the point of use. Insights propagate across B2B and B2C surfaces, creating feedback loops that accelerate with scale — not despite it.
Models validated against longitudinal human outcome data — sourced from real workflows, real decisions, real biology. Not benchmarks. Not simulations. Results.
Foundation models learn the language of biology. We build the systems that make it useful.