
Valence Labs provides AI-driven biology insights to speed discovery and understanding of how cells respond to interventions. It combines core technology from Recursion's platform—AI, machine learning, deep learning, foundation models, BioHive, and graph neural networks—to model cellular responses and predict molecular interactions. The product operates as a SaaS AI research engine for drug discovery, serving researchers and pharma customers with lab-in-the-loop experimentation. Powered by over 60 petabytes of phenomics and transcriptomics data on the BioHive supercomputer, it generates causal explanations for cellular mechanisms. Its three pillars, Predict, Explain, and Discover, aim to generate novel therapeutic hypotheses and accelerate drug development.

Valence Labs provides AI-driven biology insights to speed discovery and understanding of how cells respond to interventions. It combines core technology from Recursion's platform—AI, machine learning, deep learning, foundation models, BioHive, and graph neural networks—to model cellular responses and predict molecular interactions. The product operates as a SaaS AI research engine for drug discovery, serving researchers and pharma customers with lab-in-the-loop experimentation. Powered by over 60 petabytes of phenomics and transcriptomics data on the BioHive supercomputer, it generates causal explanations for cellular mechanisms. Its three pillars, Predict, Explain, and Discover, aim to generate novel therapeutic hypotheses and accelerate drug development.