Insilico Medicine vs Recursion

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

AI comparison summary

TL;DR:

Insilico Medicine emphasizes computational generative AI models (including large language models) that span the entire drug discovery workflow with validated clinical programs, while Recursion focuses on generating and analyzing massive proprietary experimental datasets through high-throughput automated wet labs and phenomics. The key difference is approach: Insilico leads with AI-first computational chemistry/biology and offers API access, whereas Recursion generates biological insights from unprecedented scale of actual laboratory experimentation powered by their supercomputer. Both target enterprise customers but Recursion's competitive advantage lies in its unique physical infrastructure and proprietary data moat.

Insilico Medicine
Insilico Medicine

Generative AI platform for end-to-end drug discovery, from target identification to clinical trials

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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
Technical
Technical
API available
Open source
Self-hostable
Model provider
Insilico Medicine (proprietary LLLMs)
Proprietary (Recursion OS)
Founded
2014
2013
Headquarters
Cambridge, USA
Salt Lake City, USA
Key strengths
  • ·End-to-end AI-driven drug discovery pipeline (target ID to clinical trials)
  • ·Generative chemistry and biology AI (Chemistry42, Generative Biologics)
  • ·Large Language of Life Models (LLLMs) for biomedical research
  • ·Validated therapeutic pipeline with programs in Phase I/II trials
  • ·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