Rivercell is building the data generation infrastructure AI Virtual Cells need, and with it a new generation of drug discovery.
AI Virtual Cell models aim to predict how cells behave, respond to disease and react to treatment. What holds them back is data. Training them requires vast, diverse, multimodal perturbational data, and that data does not exist at scale.
We are building the infrastructure that generates it. Our platform applies chemical and genetic perturbations to large cell populations and reads out molecular and morphological responses at single-cell resolution, across millions of perturbation and context combinations, at a throughput automation alone cannot reach.
That makes us a multidisciplinary team: thin films, fluidics and instrumentation on one side, machine learning, computational biology and cell biology on the other.
- Intelligence artificielle / Machine Learning, Pharmaceutique / Biotechnologique
- Paris