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Pioneering AI Drug Discovery

AI platform accelerating drug discovery by decoding biology with machine learning and high-throughput experiments.

$18Starting price
57KMonthly visits
29Popularity
Pioneering AI Drug Discovery featured image

About Pioneering AI Drug Discovery

Recursion’s platform combines large-scale biological datasets with advanced AI models to decode complex biological systems. The system integrates wet-lab experimentation with computational predictions, enabling rapid hypothesis generation and validation for drug discovery programs. Researchers and biotech teams use the platform to identify novel targets, optimize compounds, and prioritize candidates for preclinical development. By automating data collection and analysis, the tool reduces timelines and costs associated with traditional drug discovery workflows. The platform is designed for pharmaceutical companies, academic researchers, and biotech startups seeking scalable, data-driven approaches to therapeutic innovation. Recursion emphasizes collaboration and open science, offering tools that can be customized for specific disease areas or research questions. Its foundation model, fine-tuned on biological and chemical data, powers predictive capabilities across multiple stages of the drug discovery pipeline.

Recursion Pharmaceuticals

Salt Lake City, United States · Founded 2013

Founded
2013
Headquarters
Salt Lake City, United States

Key features

  • Large-scale biological data integration
  • AI-driven target identification
  • Compound optimization and prioritization
  • High-throughput experimental automation
  • Predictive modeling for drug efficacy and safety
  • Customizable workflows for disease-specific research
  • Collaborative research environment
  • Foundation model fine-tuned on biological and chemical data
  • Automated data collection and analysis
  • Scalable platform for preclinical drug discovery

Use cases

  • Accelerating early-stage drug discovery for rare diseases
  • Optimizing lead compounds for therapeutic efficacy and safety
  • Identifying novel biological targets for undruggable diseases

Pros

  • Combines large-scale biological datasets with advanced AI models for drug discovery
  • Integrates wet-lab experimentation with computational predictions in a unified platform
  • Reduces timelines and costs associated with traditional drug discovery workflows
  • Operates a proprietary dataset exceeding 50 petabytes, enabling robust predictive capabilities
  • Supports end-to-end drug discovery from hit identification to IND-enabling studies

Cons

  • Requires significant computational and biological data infrastructure to operate effectively
  • May involve complex integration challenges for teams without prior AI or wet-lab automation experience
  • Dependent on the quality and scale of proprietary biological datasets for optimal performance

Pioneering AI Drug Discovery videos

Frequently asked questions about Pioneering AI Drug Discovery

What does Recursion’s AI drug discovery platform do?

Recursion’s platform uses AI to decode complex biological systems by analyzing cell images and other data, enabling rapid hypothesis generation and validation for drug discovery. It integrates wet-lab experimentation with computational predictions to identify novel drug targets and optimize compounds.

Who is Recursion’s platform designed for?

The platform is designed for pharmaceutical companies, academic researchers, and biotech startups seeking scalable, data-driven approaches to therapeutic innovation. It supports collaboration across disease areas and research questions.

How does Recursion’s platform integrate wet-lab and AI workflows?

Recursion operates an automated 'lab-in-the-loop' system where physical automation and machine learning models continuously learn from experiments. This creates a feedback loop between wet-lab data and AI predictions, improving drug discovery efficiency.

What types of diseases does Recursion focus on?

Recursion’s pipeline includes programs targeting oncology (solid tumors, lymphomas, and hematologic cancers), rare diseases (e.g., familial adenomatous polyposis, hypophosphatasia), and other high-unmet-need conditions.

Does Recursion offer partnerships or collaborations?

Yes, Recursion partners with pharmaceutical companies, technology providers, and data partners to accelerate drug discovery and expand its impact. These collaborations enhance its generative AI capabilities and clinical translation.

How can I get started with Recursion’s platform?

Prospective users can explore partnerships or collaborations by contacting Recursion through their website. The company offers tools and platforms that can be customized for specific research needs and disease areas.

Pioneering AI Drug Discovery traffic & engagement

recursion.com · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202657K-34.9% MoM12-month high 94K (Jun 2026)
Rank among AI websites#2,538▼ 446 vs last monthof 8,652 tools on aitoolnavio™
Rank in Coding & Development#368of 1,107 tools in this category
Top marketUnited States47.3%Top 5 countries bring 78% of visits
Average visit29sTime on site per visit
Pages per visit1.8Average pages viewed
Bounce rate37%Lower than 63% of AI sites
Similarweb global rank#614,061#373,336 in United States

Traffic trend

Last 4 months · grows by one month every month

  • Jun 202694K
  • Jul 202688K−6.4%
  • Aug 202688K−0.6%
  • Sep 202657K−34.9%

Where visitors come from

Share of visits by channel

  • Search49.4%
  • Direct35.6%
  • Referrals4.5%
  • Social4%
  • Mail0.6%

Top countries

Share of visits · estimated visits

  • United States27K47.3%
  • United Kingdom9.4K16.4%
  • Canada3.6K6.3%
  • South Korea2.8K4.9%
  • India1.9K3.3%

Other countries: 21.8%

Visits sent by AI assistants

How people reach this site from other AI tools

335 a month · 0.6% of all visits

  • ChatGPT0.1%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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