Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
Recursionrecursion.comRecursion is a TechBio company that uses AI-driven drug discovery, training models on cellular images to map biology and accelerate development, with the goal of reducing the high failure rate of traditional drug discovery. Its platform combines large proprietary datasets, automated wet-lab robotics and computer vision, and the Recursion Operating System, powered by the BioHive supercomputer, to rapidly identify targets and design optimized molecules. Through partnerships with pharma and tech leaders, Recursion pursues a pipeline across oncology and rare diseases, delivering first-in-class or best-in-class medicines.
Words AI uses
AI reaches for automated · automated high-throughput imaging · biology-specific when it describes Recursion.
Sources
recursion.com shapes more of what AI says about Recursion than any other source, at 20% of its citations.
pmc.ncbi.nlm.nih.gov · intuitionlabs.ai · reddit.com · blackthorn.ai
The market map
Biopharma Research Platforms and Services →Where AI ranks Recursion
Excerpts where Recursion appeared in the AI's answer
Recursion Pharmaceuticals (Recursion OS): Best for high-throughput phenomics and cellular imaging.
Recursion Pharmaceuticals : Best for phenomics-first and high-content screening .
Excerpts where Recursion appeared in the AI's answer
Recursion integrates high-throughput automated wet labs with deep learning computer vision on cellular imaging (the Recursion OS ).
Recursion Operating System (Recursion OS) : Integrates massive automated wet-lab infrastructure
Excerpts where Recursion appeared in the AI's answer
Recursion Pharmaceuticals operates industrial-scale automated biology datacenters
Recursion Pharmaceuticals: Operates massive automated wet-lab infrastructure
Excerpts where Recursion appeared in the AI's answer
Recursion OS (Recursion Pharmaceuticals) – Utilizes a phenomics-first approach.
Recursion Pharmaceuticals — combines automated biology experiments with machine learning to prioritize compounds and biological hypotheses.
