Recursion
Pioneering AI-driven drug discovery to decode biology and radically improve lives
Enterprise·Technical·Powered by Proprietary (Recursion OS)
Key strengths
Massive proprietary biological dataset (>50 petabytes) spanning phenomics, transcriptomics, proteomics, and moreAutomated wet lab with robotics and computer vision generating millions of cell experiments per weekRecursion OS — a continuously improving AI drug discovery and development platformBioHive-2 supercomputer built with NVIDIA for biopharma-scale computeActive clinical pipeline targeting oncology and rare diseases with first-in-class potential
Enterprise pricing
Salt Lake City, USA
Founded 2013
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- Phenomics-based target discovery — Using computer vision on millions of cell images per week to identify biological targets linked to disease-relevant cellular disruptions
- Multimodal dataset training — Building and fine-tuning ML models on >50 petabytes of phenomics, transcriptomics, proteomics, and ADME data to improve target and molecule prediction accuracy
- AI-guided molecule design — Generating and optimizing novel molecular structures using generative AI trained on proprietary chemical and biological datasets
- High-throughput automated experimentation — Deploying robotics-driven wet labs to run and capture millions of experiments per week, feeding results back into the Recursion OS in a closed loop
- Supercomputing-scale data processing — Leveraging BioHive-2 (built with NVIDIA) to train large-scale biological foundation models and process petabyte-scale experimental outputs
- Clinical pipeline advancement — Translating computational hits into IND-ready candidates across multiple therapeutic indications with demonstrated improvements in speed and cost versus industry benchmarks