• Skip to main content
  • Skip to secondary menu
  • Skip to footer
information matters logo

Information Matters - Agentic AI News and Market Forecasts

The Agentic AI Revolution: what it means for business and the rules of competition

  • Home
  • About
    • The Team
    • About Us
    • Our Methodology
  • Contact
  • Subscribe
  • Downloads
  • Agentic AI Company Tracker
  • Agentic AI Sector Analysis

Recursion Pharmaceuticals

COMPANY PAGE

Recursion Pharmaceuticals

AI-driven drug discovery techbio (Nasdaq: RXRX) — Recursion OS 2.0 integrates multi-omic data, causal AI and high-throughput experimentation across the integrated Exscientia merger. FY2025 revenue trajectory in the tens-of-millions range with first AI-enabled clinical proof-of-concept in FAP and fifth program milestone with Sanofi.

Public — Nasdaq: RXRX
Founded 2013
Healthcare AI
recursion.com

Last Updated: 28 May 2026
Fact-checked: 3 June 2026
Coverage: Tracker · Category Report (Healthcare AI, forthcoming)
← Back to AI Tracker

The Business

Recursion Pharmaceuticals is a publicly-listed AI-driven drug discovery techbio (Nasdaq: RXRX) built on the Recursion OS 2.0 platform that integrates multi-omic data, causal AI and high-throughput experimentation. The product line is anchored on the platform itself plus an internal drug-discovery pipeline and a portfolio of pharmaceutical partnerships (Sanofi, Bayer, others) structured as upfront, milestone-based and royalty-based revenue. The company was founded on November 1, 2013 by Chris Gibson and Dean Li at the University of Utah, where Gibson developed the underlying technology during his MD/PhD work in Li’s lab. The November 2024 acquisition of Exscientia (deal valued at approximately $688M) combined two of the largest pre-existing AI-driven drug discovery platforms into a single integrated entity. Recursion is publicly listed on Nasdaq under ticker RXRX following the April 2021 IPO.

Customers and Distribution

Recursion is publicly listed and files 10-Q / 10-K reports with the SEC; Q2 2025 revenue $19.22M up 25% YoY driven by partnership milestones, with net loss widening to $171.9M in the same period. The FY2025 Q4 and full-year results announcement highlighted continued quarterly revenue growth, a smaller net loss and continued commentary on the AI-driven discovery platform with the first AI-enabled clinical proof-of-concept achieved in FAP and the fifth program milestone achieved with Sanofi. Distribution is via pharmaceutical-partnership procurement (Sanofi multi-program partnership, Bayer partnership and others) structured around upfront, milestone-based and royalty-based revenue; the partnership-revenue mix and milestone-receipt cadence are the principal commercial variables disclosed in quarterly 10-Q filings. The combined post-Exscientia entity carries materially-larger R&D commitments than the pre-merger Recursion baseline; cash runway against the R&D burn rate is the principal financial-execution variable.

Model Strategy

Recursion is a Verticals-first AI play under the IM Framework eight-trajectories taxonomy: the strategic bet is that AI-driven drug discovery is a defensible vertical primitive built on Recursion OS 2.0, the Exscientia merger integration and the multi-omic / high-throughput-experimentation platform that pre-dated current frontier-model adoption. The platform integrates phenotypic screening (Recursion heritage), generative chemistry (Exscientia heritage), multi-omic data integration and causal AI for target identification and lead optimisation. The NVIDIA strategic partnership on the BioHive supercomputer infrastructure is the canonical compute-resource anchor. Above the platform layer, the pharmaceutical-partnership procurement (Sanofi, Bayer) is the principal commercial distribution channel; the internal pipeline is the principal value-capture pathway alongside partnership-revenue.

At A Glance

Annualised revenue
$26M ●
2026-03-31 as-of

2024-12-312026-03-31

Active pharma partnerships
5 ●
2026-03-31 as-of

2024-12-312026-03-31

Headcount
600 ●
2025-12-31 as-of

2024-12-312025-12-31

Funding to date
●
None as-of

The Numbers

Annualised revenue

$26M $15M 2024-12-31 — 18.7 2025-03-31 — 14.8 2025-06-30 — 15.0 2025-09-30 — 18.0 2025-12-31 — 21.0 2026-03-31 — 26 2024-12-31 2026-03-31

Active pharma partnerships

5 4 2024-12-31 — 4 2025-06-30 — 4 2025-12-31 — 5 2026-03-31 — 5 2024-12-31 2026-03-31

Headcount (FTE)

870 600 2024-12-31 — 870 2025-06-30 — 800 2025-12-31 — 600 2024-12-31 2025-12-31

Leadership Team

CEO
Najat Khan, PhD
Joined Recursion in 2024 as Chief R&D Officer and Chief Commercial Officer; became CEO effective January 1, 2026 following the Chris Gibson transition. Previously Chief Data Science Officer and Global Head of Strategy, Portfolio and Operations at Johnson & Johnson Innovative Medicine. PhD in Organic Chemistry from the University of Pennsylvania; AI/ML certification from MIT CSAIL.

Founder & Chairman
Chris Gibson
Co-founded Recursion on November 1, 2013 and served as CEO for 12 years before transitioning January 1, 2026 to enable the Najat Khan CEO succession. Developed the technology and approach that seeded Recursion as part of his MD/PhD work in the lab of co-founder Dean Li at the University of Utah. Transitioned to Chairman of the Board; in April 2026 announced plans to complete his board term through June 2026 and not seek re-election, remaining as advisor.

Chief Scientific Officer
Najat Khan / Senior R&D leadership
The post-Exscientia merger R&D leadership team integrates Recursion phenotypic-screening heritage with Exscientia generative-chemistry capabilities. Khan continues to oversee the integrated R&D function during the CEO transition; named CSO and CMO appointments below CEO are the principal organisational-scale variable through 2026.

Co-founder
Dean Li
Co-founded Recursion in 2013 in the University of Utah research lab where Chris Gibson did his MD/PhD work. Currently President of Merck Research Laboratories (left Recursion-day-to-day; remains aligned via founding-team legacy).

Recursion is in active CEO transition with Najat Khan having taken over from co-founder Chris Gibson effective January 2026; Gibson transitioned to Chairman and announced in April 2026 that he will not seek re-election to the board after June 2026. The Khan-led strategic refocus (announced at the post-Exscientia merger reorganisation) concentrates resources on the highest-rationale programs with near- and long-term clinical potential.

IM Framework Scoring

IM’s structured assessment of Recursion Pharmaceuticals’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →

Competitive Position
Emerging Player
Healthcare AI sector

The Information Matters Compass

5 7.5 10 5 7.5 10 Defensibility → Disruption Potential →Disruptive Challengers Dominant InnovatorsEmerging Players Established Incumbents Recursion Pharmaceuticals © Information Matters

Strategic Bet
Verticals — AI-driven drug discovery is a defensible vertical primitive built on Recursion OS 2.0, the Exscientia merger integration and the multi-omic / high-throughput-experimentation platform that pre-dated current frontier-model adoption
Plus: Plus: rewire — pharmaceutical R&D restructuring around AI-native drug discovery pipelines with Recursion positioned as the canonical end-to-end techbio platform vendor

Watch: Najat Khan strategic-refocus execution on the highest-rationale programs following the Chris Gibson transition; pace of clinical milestones in the post-Exscientia integrated pipeline; the FAP AI-enabled clinical proof-of-concept readout and the Sanofi fifth-program milestone implications; cash runway against the materially-larger R&D commitments post-Exscientia merger; and 10-Q / 10-K disclosures on partnership-revenue mix and milestone-receipt cadence.

Funding History

Date Round Raised Post-money Lead investor(s)
Apr 2021 IPO ~$502M — Nasdaq listing (ticker RXRX) April 16, 2021
Nov 2024 Exscientia merger Stock-and-cash (~$688M deal) — Acquisition of Exscientia closed November 2024 in the biggest life-sciences AI merger to that point
2024 Sanofi partnership extension Multi-program milestones — Pharmaceutical partnership for AI-driven target discovery; fifth program milestone achieved in 2025
Nov 2021 NVIDIA partnership Strategic — NVIDIA strategic partnership on the BioHive supercomputer infrastructure

Recursion is a publicly-listed company (Nasdaq: RXRX) listed in April 2021. Pre-IPO cumulative equity ~$420M (Series B $60M 2017 + Series C $121M 2019 + Series D $239M Sep 2020); IPO gross $501.8M / net $462.6M April 2021. The November 2024 all-stock Exscientia merger (~$688M deal value) added the combined entity revenue base, R&D pipeline and cash position. Funding-to-date is an ill-defined metric for a public company; refer to the 10-K cash/equivalents and accumulated paid-in-capital disclosures on ir.recursion.com as the canonical primary source. A12 audit June 2026 reset the tracker to decline-to-publish on funding_to_date for this listed-company entry.

Competitive Landscape

Competitor Positioning Distribution edge Threat profile
Isomorphic Labs
(Alphabet (NASDAQ: GOOGL))
Alphabet-funded AI drug discovery spun out of DeepMind — AlphaFold-derived structure prediction at the core, pursued through pharma partnerships with Eli Lilly and Novartis rather than its own clinical pipeline. Big-Pharma partnership model (Lilly, Novartis) backed by Alphabet capital and DeepMind talent; no public-market disclosure pressure or commercial-stage burn. High — DeepMind-anchored AI-driven drug discovery with AlphaFold and downstream protein-structure capabilities; structural-symmetric public-AI competitor with Alphabet capital backing.
Generate Biomedicines / Insitro AI-native biotech peers — Generate focuses on generative protein design via its Chroma model, Insitro on ML-driven target discovery from human genetic and phenotypic data. Narrower platform scope than Recursion’s Recursion-OS-plus-Exscientia stack. Pharma R&D partnerships (Generate with Amgen, Insitro with BMS / Gilead) plus internal pipelines; private-company status means less disclosure pressure than RXRX. High — well-funded private techbio competitors with comparable AI-driven drug discovery positioning; head-to-head on pharmaceutical-partnership procurement and platform-positioning.
Schrodinger
(NASDAQ: SDGR)
Public-listed (Nasdaq: SDGR) physics-based computational chemistry incumbent — software licensing plus a co-development drug pipeline. The longest-standing computational drug-discovery moat in the cohort. Software licensing into virtually every Big Pharma and large biotech (the LiveDesign platform is industry-standard), plus collaboration agreements that fund the proprietary pipeline. Medium-High — public-listed computational chemistry platform with broader physics-based simulation positioning; competes on enterprise pharmaceutical procurement and adjacent on AI-driven discovery.
Big Pharma in-house AI
(Various)
Roche, Pfizer, AstraZeneca, Lilly, Novartis, Sanofi all running internal AI / ML drug-discovery groups; foundation-model partnerships (Lilly-Isomorphic, Roche-NVIDIA BioNeMo, Sanofi-OWKIN) plus internal platform teams. Captive: Big Pharma owns the pipeline, the trial infrastructure, the data and the commercial channel; uses AI vendors as tools rather than acquiring them. Medium-High — Pfizer, AstraZeneca, Novartis, Sanofi and others are all building in-house AI-driven drug discovery capabilities; structural risk on whether techbio platform vendors retain procurement budget or whether Big Pharma in-houses the capability.
Chai Discovery / EvolutionaryScale Foundation-model labs for biology — Chai-1 / Chai-2 structure-prediction models, EvolutionaryScale’s ESM3 frontier protein language model. AI-first labs pitching the next generation of biological reasoning, not vertically integrated drug companies. Open-weight model releases (ESM, Chai-1) plus API and enterprise licensing into pharma R&D groups; positioned upstream of Recursion’s integrated-platform model. Medium — protein-language-model and structure-prediction startups competing on the upstream protein-design layer; flanking risk on the drug-discovery AI platform layer.

Potential Risks

Drug-discovery commercial cycle length

The fundamental commercial reality of drug discovery is that platform-adoption metrics and quarterly revenue are decoupled from clinical-milestone outcomes that play out across multi-year cycles. Recursion platform-utilisation can scale through pharmaceutical-partnership cadence but the company commercial outcomes depend on clinical proof-of-concept readouts. The FAP AI-enabled clinical proof-of-concept and the Sanofi fifth-program milestone are the canonical near-term watch-items.

Big Pharma in-house AI substitution

Pfizer, AstraZeneca, Novartis, Sanofi and other Big Pharma companies are all building in-house AI-driven drug discovery capabilities. The structural risk is whether techbio platform vendors (Recursion, Isomorphic Labs, Generate Biomedicines, Insitro) retain pharmaceutical-partnership procurement budget or whether Big Pharma in-houses the capability. Recursion hedge is the Exscientia merger integration and the depth of the Recursion OS 2.0 platform.

Post-merger integration and strategic refocus execution

The Exscientia merger closed November 2024 and the post-merger integration plus the January 2026 Najat Khan CEO transition mark a strategic refocusing on the highest-rationale programs. Execution risk on the refocus (portfolio rationalisation, integrated R&D leadership, cash-deployment prioritisation) is the principal organisational-scale variable.

Cash runway against R&D commitments

The combined post-Exscientia entity carries materially-larger R&D commitments than the pre-merger Recursion baseline. Cash runway against the R&D burn rate is the principal financial-execution variable; the FY2025 10-K and ongoing 10-Q disclosures are the canonical reference for cash position and R&D spend cadence.

Public-market valuation framing and biotech cycle

Recursion as a publicly-listed techbio is subject to the broader biotech-stock cycle and to specific AI-drug-discovery narrative cycles. Public-market valuation framings have moved materially through 2024-2026 around clinical-milestone disclosures, partnership announcements, and broader biotech-sector sentiment. The structural risk is whether the public-market framing reflects platform-adoption progress or whether it amplifies biotech-cycle noise.

Recent IM Coverage

  • AI Tracker — methodology May 2026.
  • Healthcare AI sector overview May 2026.

Show recent press coverage of Recursion Pharmaceuticals
  • Q1 2026 — Recursion Reports Fourth Quarter and Full Year 2025 Financial Results and Provides Business Update (Recursion IR)
  • Nov 2025 — Recursion CEO Chris Gibson out as company head after 12 years (STAT News)
  • Nov 2025 — Recursion Announces CEO Transition Plan to Drive Next Phase of Growth (Recursion IR)
  • 2026 — After a decade of hype, Najat Khan is bringing Recursion back down to earth (FierceBiotech)
  • Nov 2024 — Recursion and Exscientia Two Leaders in AI Drug Discovery Have Officially Combined (Recursion IR)
  • Apr 2026 — Recursion Announces Board Transition (GlobeNewswire)
  • 2024 — Recursion and Exscientia merge in $688M deal to create consolidated AI-driven drug discovery platform (Drug Discovery Trends)

Show the source register for the figures on this page

IM operates a primary-source-where-possible discipline. The figures above come from:

  • Revenue: Recursion is publicly listed and files 10-Q / 10-K reports with the SEC. Q2 2025 revenue $19.22M up 25% YoY driven by partnership milestones; net loss widened to $171.9M in the same period. The FY2025 Q4 and full-year results announcement highlighted quarterly revenue growth and a smaller net loss with continued AI-driven discovery platform commentary. The 10-K filing is the canonical primary reference for annual financials.
  • Pipeline and partnerships: Recursion has multi-program pharmaceutical partnerships with Sanofi (fifth program milestone achieved in 2025) and Bayer among others. The November 2024 Exscientia merger integrated the combined pipeline; first AI-enabled clinical proof-of-concept achieved in FAP per CEO commentary in the Q4 2025 results announcement.
  • Headcount: Recursion 10-K filing discloses headcount as part of the annual reporting. The combined post-Exscientia entity headcount is integrated; we reference the Q4 2025 results announcement and the SEC 10-K as the canonical primary source.
  • Public capital structure: Recursion is publicly listed on Nasdaq under ticker RXRX following the April 2021 IPO. The November 2024 Exscientia merger was a stock-and-cash transaction valued at approximately $688M per Drug Discovery Trends coverage. Cash position, secondary equity offerings and milestone-receipt cadence are disclosed in the 10-Q and 10-K filings on SEC Edgar.

Methodology & Disclaimer

For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.

Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.

Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.

Footer

  • LinkedIn
  • YouTube

Copyright © 2026 · Information Matters

Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
View preferences
  • {title}
  • {title}
  • {title}