Flatiron Health vs Recursion

Side-by-side comparison of Flatiron Health and Recursion: pricing, features, API access, and community ratings.

AI comparison summary

Flatiron Health specializes in extracting insights from real-world oncology patient data to support clinical decisions and research, making it valuable for both care providers and pharma companies doing post-market analysis. Recursion focuses on early-stage drug discovery through massive-scale biological experimentation and AI modeling, operating an automated lab that generates proprietary multi-omic datasets to find novel drug candidates. The key difference is their position in the drug lifecycle: Flatiron analyzes real-world outcomes from existing treatments while Recursion discovers new molecules in the lab. Flatiron offers an API for integration while Recursion's platform remains proprietary to their internal discovery efforts.

Flatiron Health
Flatiron Health

Real answers to guide oncology's highest-stakes decisions with AI-powered real-world evidence

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Recursion
Recursion

Pioneering AI-driven drug discovery to decode biology and radically improve lives

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Category
Healthcare & biotech
Healthcare & biotech
Pricing
Enterprise
Enterprise
Starting price
Free tier
Audience
All audiences
Technical
API available
Open source
Self-hostable
Model provider
Proprietary (LLM + ML)
Proprietary (Recursion OS)
Founded
2012
2013
Headquarters
New York, USA
Salt Lake City, USA
Key strengths
  • ·High-fidelity oncology real-world data from millions of cancer patients
  • ·AI combined with human expertise for clinical and research insights
  • ·Supports 2,000+ peer-reviewed publications
  • ·Serves both life sciences and point-of-care clinical settings
  • ·Massive proprietary biological dataset (>50 petabytes) spanning phenomics, transcriptomics, proteomics, and more
  • ·Automated wet lab with robotics and computer vision generating millions of cell experiments per week
  • ·Recursion OS — a continuously improving AI drug discovery and development platform
  • ·BioHive-2 supercomputer built with NVIDIA for biopharma-scale compute