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
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Infectious Disease, Neurology, Oncology

What the Web Says

Recursion (Recursion.com) is a TechBio company that utilizes artificial intelligence and automated laboratories to accelerate drug discovery and development, focusing on oncology and rare diseases. The company aims to industrialize drug discovery by generating massive biological and chemical data to train machine learning algorithms, predicting experimental outcomes, and reducing the time and cost of early-stage drug discovery. While they have several programs in clinical trials and strategic partnerships with pharmaceutical and technology leaders, some opinions suggest that the company's ambitious approach carries significant financial risks and that real product revenue is still years away.

Overall: Mixed

Strengths

  • Utilizes AI and automated labs to accelerate drug discovery, potentially reducing time and cost.
  • Has a growing pipeline of potential therapies for oncology and rare diseases.
  • Strategic partnerships with major pharmaceutical companies like Roche/Genentech and Sanofi, and technology leaders like NVIDIA.
  • Mission-driven organization with a strong culture among some employees.
  • Offers generous benefits and pay to employees.
  • CEO is transparent and a good speaker, with lots of progress on the company's vision.

Limitations

  • High-risk, speculative bet on the future of science with significant cash burn and real product revenue years out.
  • Concerns about job security and advancement, with reports of massive layoffs and poor management.
  • Work-life balance is often poor, with demands for unpaid overtime.
  • Some employees describe the company culture as immature, with poor leadership and a fear of expressing disagreement.
  • Efficacy evaluations for some lead experimental drugs have been unclear, despite meeting safety goals.
  • The technology's effectiveness in revolutionizing drug development from the ground up is questioned by some, with concerns about overestimating the company's abilities.

Based on reviews from: Reddit, Indeed.com, Slashdot, Investing.com, MarketBeat, BioPharma Dive, YouTube, G2

Last updated: 2026-09-22

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Press & Coverage

Recursion Pharmaceuticals, Inc. (Press Release)
Recursion Reports Second Quarter Financial Results; Genentech Options First Neuroscience Target into Early Discovery Program
Recursion announced its Q2 2026 financial results, highlighting that Genentech has opted to advance the first neuroscience target from their collaboration into an early discovery program.
2026-08
MarketBeat
Recursion Pharmaceuticals Highlights AI Drug Platform, FAP Progress at Morgan Stanley Conference
Recursion presented at the Morgan Stanley 24th Annual Global Healthcare Conference, emphasizing its AI-enabled drug discovery platform and positive Phase II data for REC-4881 in familial adenomatous polyposis (FAP).
2026-09
Investing.com
Recursion at Morgan Stanley conference: AI platform moves into clinic
Recursion Pharmaceuticals showcased its evolution from a platform-only company to a clinical-stage biotech with advancing programs, including strong early data for REC-4881 in FAP, at the Morgan Stanley conference.
2026-09
TipRanks.com
Recursion, Tempus Expand AI and RNA Collaboration Agreements
Recursion Pharmaceuticals amended its data and AI collaboration with Tempus AI, extending the agreement and licensing its TxFM RNA sequencing model for oncology.
2026-09
TradingView (SEC Filing)
Recursion Pharmaceuticals Enters Amendment To Master Agreement With Tempus On Sept 15, 2026 - SEC Filing
An SEC filing revealed that Recursion Pharmaceuticals entered an amendment to its Master Agreement with Tempus AI on September 15, 2026, modifying terms of their collaboration.
2026-09
DirectorsTalk Interviews
Recursion Pharmaceuticals, Inc. (RXRX) Stock Analysis: High Potential Upside In The Biotech Sector
This analysis discusses Recursion Pharmaceuticals' potential in the biotech sector, acknowledging its current investment-heavy phase with revenue growth decline and negative EPS, but highlighting a robust pipeline.
2026-09
Recursion Pharmaceuticals, Inc. (Press Release)
Recursion to Report Second Quarter 2026 Business Updates and Financial Results on August 5th
Recursion announced it would provide business updates and report its second-quarter 2026 financial results on August 5, 2026.
2026-07
BioPharma Dive
AI specialist Recursion says lead drug is safe, but efficacy less clear
Recursion announced Phase 2 study results for its lead experimental drug, showing it to be safe but with less clear indications of efficacy for a neurovascular condition.
2024-09

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 → | Report an issue | Last Verified: 2026-06-23 | First Added: 2026-06-23

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