Recursion OS

Decoding biology to radically improve lives through AI-driven drug discovery.

by Recursion Pharmaceuticals · Drug Discovery AI

Executive Summary

Recursion OS is a proprietary, AI-enabled end-to-end platform for drug discovery and development, leveraging automated wet labs and advanced AI/ML. It is utilized by pharmaceutical and biotech companies to accelerate the identification of novel therapeutic insights and drug candidates. The platform's key value lies in industrializing drug discovery, leading to faster, more efficient, and less costly drug development compared to traditional methods.

Use Cases

  • Identifying novel drug targets for diseases with high unmet needs, such as oncology and rare diseases.
  • Designing and optimizing drug candidates with precision and reduced liabilities.
  • Accelerating preclinical development from target identification to IND-enabling studies.
  • Uncovering new disease mechanisms and biological pathways.
  • Screening millions of compounds and genetic perturbations at scale.
  • Leveraging real-world data and human genetics modeling for clinical development.

Features

Visibility

  • Phenomic Mapping: Unbiased study of cell morphology through high-content imaging to capture and analyze rich morphological data.
  • Transcriptomic Analysis: Understanding gene expression by processing plates with barcodes that bind to mRNA, providing insights into molecular mechanisms.
  • Maps of Biology and Chemistry: Interactive, searchable digital representations of biological and chemical relationships for broad exploration of disease biology.
  • InVivomics Layer: Incorporates high-temporal resolution animal studies to complement in vitro data.

Intelligence

  • AI-Driven Target Identification: Leverages AI models to identify novel and undrugged therapeutic targets by analyzing massive datasets.
  • Generative AI for Molecule Design: Uses synthesis-aware generative AI workflows to design optimized drug candidates and remove potential liabilities.
  • Active Learning for Experimental Optimization: Iteratively improves models by feeding experimental values back into the system, evolving molecules towards desired goals.
  • Unbiased Biological Relationship Discovery: Utilizes machine learning to uncover complex patterns and relationships across biology and chemistry unconstrained by human bias.

Support

  • Dedicated Partner Support: Collaborative support for strategic partners, including R&D units of pharmaceutical companies.
  • Scientific and Technical Expertise: Access to a team balanced between life scientists and computational/technical experts.

Technical Specifications

Architecture
Hybrid (cloud-native and on-prem supercomputing), Microservices on Kubernetes (GKE, GKE On-Prem).
Deployment
Hybrid
Authentication
Enterprise-grade authentication (specific protocols not publicly detailed)
API Available
Yes
MCP Server
No

Infrastructure

  • GCP
  • NVIDIA

AI/ML Stack

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • LLM

Integrations

  • Laboratory Automation
  • Imaging Systems
  • Genomics Data

Security & Compliance

Encryption: Industry-standard encryption (details not publicly specified)

Pricing

Model
Custom enterprise, collaboration-based (milestones, royalties)
Starting Price
Contact sales
Target Customer
Enterprise (pharmaceutical and biotech companies)
Contract Type
Multi-year collaboration agreements
Free Trial
No (credit card required)

About Recursion Pharmaceuticals

Recursion Pharmaceuticals is a clinical-stage TechBio company that decodes biology and chemistry to industrialize drug discovery. Leveraging its Recursion Operating System (OS), the company uses a platform built across diverse technologies to map and navigate biological and chemical relationships, accelerating the discovery of treatments for various diseases. They combine experimental biology, bioinformatics, and artificial intelligence in a hybrid lab-to-cloud platform.

Founded: 2013 · Headquarters: Salt Lake City, United States · Employees: 501-1000 · Public