RECURSION

by Recursion Pharmaceuticals  · Based in United States →Pioneering AI Drug Discovery
Infectious Disease Neurology Oncology

Contact for pricing
Regulatory Status Disclosed

Overview

RECURSION is an AI-driven drug discovery and development platform developed by Recursion Pharmaceuticals, a clinical-stage TechBio company. The platform, known as the Recursion OS, integrates automated experimental biology, high-content imaging, machine learning, and computational chemistry. It is designed to accelerate the identification of novel drug targets and the design of optimized molecules.

The tool is primarily for researchers and pharmaceutical companies involved in drug discovery and early development, particularly in areas of high unmet medical need such as oncology and rare diseases. Recursion itself is advancing an internal pipeline of drug candidates and collaborates with larger pharmaceutical companies.

Within a research and development workflow, RECURSION aims to industrialize drug discovery by generating and analyzing massive proprietary biological and chemical datasets. This involves conducting millions of wet lab experiments weekly using robotics and computer vision, with the results feeding back into the Recursion OS for continuous improvement. The platform leverages machine learning models and large language models to uncover biological and chemical insights.

Notable capabilities include the ability to identify novel disease targets and precision-design drug candidates. The Recursion OS has been used to accelerate the timeline from target identification to Investigational New Drug (IND)-enabling studies. The company also utilizes its platform to support clinical trial workflows, for example, by creating real-time clinical monitoring portals to expedite dose escalation meetings. Recursion has developed BioHive-2, a powerful supercomputer, to process its extensive data.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-native, end-to-end drug discovery and development platform (Recursion OS)
  • Integration of machine learning, automation, and biological experimentation
  • Proprietary biological and chemical datasets (>50 petabytes)
  • Automated wet lab capable of millions of cell experiments per week
  • BioHive-2 supercomputer (in collaboration with NVIDIA)
  • Large language model (LLM) LOWE for workflow orchestration
  • Pipeline of potential first-in-class and best-in-class treatments
  • Strategic partnerships with pharmaceutical and technology leaders
  • Phenomic, transcriptomic, proteomic, and ADME data integration
  • Identification of novel drug targets and optimized molecules

Use Cases

  • Accelerating drug discovery and development
  • Identifying novel therapeutic targets for various diseases
  • Developing treatments for aggressive cancers
  • Developing treatments for rare diseases
  • Optimizing clinical trials
  • Drug repurposing

What Physicians Need to Know

Molecule Screening Capability
Recursion combines automation, machine learning, and a massive biological and chemical dataset to screen billions of biological and chemical perturbations. Their Recursion OS integrates in-house automated wet-labs and a computational drug discovery platform to generate, analyze, and learn from petabytes of biological data.
Genomic Data Integration
Recursion's platform is designed to integrate various data types, including genomic data, to understand disease biology and identify potential therapeutic targets. They leverage machine learning to analyze these complex datasets and uncover insights.
Target Identification
Recursion utilizes its Recursion OS to systematically map human biology and identify novel therapeutic targets. Their approach involves perturbing biological systems and observing the resulting changes at a cellular level, then using AI to interpret these changes and pinpoint potential drug targets.
Physician Tip

Physicians should be aware that Recursion's platform is primarily focused on the early stages of drug discovery, specifically target identification and lead optimization, by leveraging AI and automation to accelerate the discovery of new medicines. While not directly involved in clinical trial matching or real-world evidence analysis in a patient-facing capacity, their work aims to bring more effective therapies to clinical trials faster. Understanding the AI-driven approach to target identification can provide insight into the rationale behind novel therapeutic candidates emerging from their pipeline.

Recursion's platform, the Recursion OS, is an integrated system that combines in-house automated wet-labs with a computational drug discovery platform. This allows for seamless integration of experimental data generation and AI-driven analysis within their own ecosystem. They have also formed strategic collaborations, such as with NVIDIA, to further enhance their AI models and accelerate drug discovery, indicating a focus on integrating advanced computational capabilities and potentially external data sources into their platform.

Details

Category Drug Discovery & Research
Pricing Contact for pricing
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Recursion has received FDA clearance for Investigational New Drug (IND) applications for several of its drug candidates, including REC-994 for cerebral cavernous malformation and REC-1245 for biomarker-enriched solid tumors and lymphoma, allowing them to proceed with clinical trials.

Integrations
EHR Not specified
Specialties Infectious Disease, Neurology, Oncology

What the Web Says

Recursion is a TechBio company aiming to revolutionize drug discovery using AI, machine learning, and automated wet labs. They focus on identifying biological drivers of disease and developing therapies for aggressive cancers and rare diseases. While the company has promising technology and partnerships, it faces challenges in demonstrating clinical efficacy and achieving profitability. Employee reviews are mixed, with some praising the culture and benefits, while others criticize management and work-life balance.

Overall: Mixed

Strengths

  • Innovative AI-driven approach to drug discovery with potential to reduce failure rates and accelerate development.
  • Strong partnerships with pharmaceutical leaders like Merck and Roche.
  • Advanced pipeline of potential first-in-class and best-in-class therapies.
  • Mission-driven organization with a focus on solving hard biological problems.
  • Collaborative and interdisciplinary culture with opportunities for learning and growth (according to some employees).
  • Good benefits and pay (according to some employees).

Limitations

  • Lack of demonstrated clinical wins and products on the market.
  • High cash burn and operational expenses, with the company not yet profitable.
  • Reliance on unproven technologies and clinical programs.
  • Mixed employee reviews regarding work-life balance, management, and job security.
  • Underwhelming efficacy results in early clinical trials for some candidates.
  • Potential for regulatory and competitive obstacles in the AI-driven drug discovery market.

Based on reviews from: Indeed.com, Reddit, SourceForge, DirectorsTalk Interviews, The Motley Fool, Fierce Biotech, Stock Titan

Last updated: 2026-06-24

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Press & Coverage

GlobeNewswire (via Nasdaq)
Recursion Reports First Quarter Financial Results and Provides Business Update
Recursion reported strong continued pipeline execution, clinical progress, and platform advancement, along with its first quarter 2026 financial results, highlighting favorable safety and pharmacokinetic data for REC-1245 and continued momentum for REC-4881.
2026-05
Nature Biotechnology
Programming biology: next-gen AI firms raise billions to design better medicines
This article discusses how next-generation AI firms, including Recursion, are raising significant capital to design better medicines by programming biology.
2026-05
GlobeNewswire (via Nasdaq)
Recursion Announces Board Transition
Recursion announced that Chris Gibson, Ph.D., will complete his current term through June 2026 and does not intend to seek re-election to the Board of Directors.
2026-04
MarketScreener
Recursion Pharmaceuticals Announces Executive Changes, Effective April 6, 2026
Recursion Pharmaceuticals announced that Vicki Goodman, M.D., will become the company's Chief Medical Officer effective April 6, 2026, as David Mauro, M.D., Ph.D. transitions out of the role.
2026-03
Pharmaceutical Technology
Big tech meets biotech: Recursion and the AI gold rush in pharma
This article explores how Recursion Pharmaceuticals is leveraging AI, machine learning, and its proprietary data sets, including the BioHive-2 supercomputer, to accelerate drug discovery and development.
2025-03
Recursion Pharmaceuticals, Inc.
Recursion Reports Second Quarter 2025 Financial Results and Provides Business Update
Recursion reported business updates and financial results for its second quarter ended June 30, 2025, including partnership and clinical updates such as a $7 million Sanofi milestone.
2025-08
BioPharma Dive
AI specialist Recursion says lead drug is safe, but efficacy less clear
Recursion Pharmaceuticals announced results from a mid-stage trial of its lead experimental drug, REC-994, showing it to be safe, though efficacy evaluations were less clear with only a 'trend' toward reduced brain lesion volume.
2024-09
Google Cloud (YouTube)
New Way Now: Recursion processes petabytes of data into therapeutic breakthroughs with Google Cloud
This video highlights how Recursion utilizes Google Cloud and generative AI, including Gemini models, to process petabytes of data, accelerate drug discovery, and improve operational efficiency.
2025-12

Videos

Product demos, reviews, and walkthroughs for RECURSION.

View all on YouTube

Frequently Asked Questions

Recursion leverages a massive dataset of biological images and machine learning to identify potential drug candidates and disease mechanisms at an unprecedented scale. This allows for the rapid screening of compounds and the generation of hypotheses much faster than conventional, hypothesis-driven research.
Recursion typically utilizes high-dimensional imaging data of cellular models, often generated in-house or through partnerships. Data compliance would involve standard agreements around data ownership, privacy (especially if human-derived cells are involved), and intellectual property, ensuring secure and ethical data handling.
Yes, several other companies utilize AI/ML in drug discovery, such as BenevolentAI, Exscientia, and Insilico Medicine. Recursion differentiates itself through its unique 'maps of biology' approach, focusing on phenomic data generated from its automated wet labs to uncover novel biological relationships.
Recursion often engages in strategic partnerships with pharmaceutical companies, which can involve upfront payments, research milestones, and royalties on successful drug candidates. Specific cost structures vary depending on the scope and nature of the collaboration.
While powerful in early discovery, Recursion's platform, like all preclinical models, has limitations in fully predicting human physiology and potential off-target effects. Clinical translation still requires extensive in vivo testing and human trials to validate safety and efficacy, as AI models are only as good as the data they are trained on.
Recursion employs rigorous experimental validation processes, often using orthogonal assays and traditional biological methods to confirm AI-generated hypotheses. Their high-throughput wet lab operations are designed for consistency and reproducibility, and they emphasize a 'fail fast' approach to quickly identify and discard non-viable candidates.

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Suggest an Edit → | Last Verified: 2026-06-23 | First Added: 2026-06-23

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