Cure chronic and
aging-related diseases
We are delivering on our vision by
decoding
the latent causal biology of disease through applying physics-first AI to longitudinal human health data
designing
generative AI platforms to support these programmes
de-risking
clinical trials through improved target selection
drugging
drivers of chronic and aging-related diseases as well as aging itself
delivering
medicines to patients through both an internal and partnered drug discovery pipeline model
Our discovery platforms
Foundation Model of Human Diseases
Foundation Model of Human Diseases
Nidana is a physics-first AI model trained on ~250 million longitudinal patient medical data points across 400 diseases, modeling how disease evolves over time-revealing true causal pathways driving disease progression
Sequence-Based Generative Chemistry
Sequence-Based Generative Chemistry
Trained on 3 million ligand-protein assay data points, ProtoBind generates and prioritizes drug-like small-molecules for challenging targets without requiring a 3D protein structure or known ligands, achieving wet-lab-validated hit rates of up to 25%
