Company profile

Exscientia

Drug Discovery & Development

Company profile

About Exscientia

Recursion is a pioneering TechBio company founded over a decade ago on the revolutionary idea of using cellular imaging and artificial intelligence to decode biology and transform drug discovery. The company has built the Recursion Operating System (Recursion OS), an advanced AI-driven drug discovery and development platform that leverages one of the largest fit-for-purpose proprietary biological and chemical datasets in the world—over 50 petabytes spanning phenomics, transcriptomics, proteomics, ADME, and de-identified patient data. Recursion's mission is to radically improve lives by addressing the massive 90% failure rate of traditional drug discovery through novel insights and precision design. The company's automated wet lab utilizes robotics and computer vision to capture millions of cell experiments per week, feeding results back into the platform in a continuously improving feedback loop. This approach has demonstrated significant improvements in speed, efficiency, and reduced costs from hit identification to IND-enabling studies compared to traditional pharmaceutical company averages. The company has developed an advanced pipeline of potential first-in-class and best-in-class treatments targeting conditions with high unmet need, including aggressive cancers such as advanced solid tumors, B-cell malignancies, and lymphomas, as well as rare diseases like familial adenomatous polyposis and hypophosphatasia. Multiple programs are currently in clinical trials, including the TUPELO, ELUCIDATE, DAHLIA, EXCELERIZE, and ENLYGHT studies. Recursion partners with pharmaceutical industry leaders and technology giants like NVIDIA, with whom they built BioHive-2, biopharma's most powerful supercomputer. The company is headquartered in Salt Lake City, Utah, and is a proud founding member of BioHive, the fastest-growing life sciences community in the nation.

Company description Exscientia official website

Primary marketDrug Discovery & Development
Commercial modelCommercial information available on request
Company presenceLinkedIn X
Work at Exscientia?

Claim this profile to manage Company information and connect with the Health AI Central audience.

Claim this listing

01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Advanced solid tumors
  • B-cell lymphomas
  • B-cell malignancies
  • Familial adenomatous polyposis
  • Hematology oncology
  • Hypophosphatasia
  • Solid tumors and lymphoma

Who it serves

  • Biotech partners
  • Pharma

Deployment & integration

On Premise · Other deployment with recorded integration context.

Geographic context

MarketsNot currently listed
Company sourceOfficial website

Company milestones

Platform expansion

First patient dosed in Phase 1 clinical study of REC-3565 for B-cell lymphomas. Positive Phase 1b/2 results from ongoing REC-4881 TUPELO trial. Built BioHive-2 supercomputer with NVIDIA.

Partnerships

Recorded partners

  • BioHive life sciences community
  • NVIDIA
  • Pharmaceutical industry leaders (unnamed)
  • Technology partnerships with computational titans (unnamed)

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

BioHive-2

Biopharma's most powerful supercomputer for AI drug discovery

Platform · On PremiseCompany source

REC-3565

Selective MALT1 inhibitor for B-cell lymphomas

Other · OtherCompany source

REC-4881

Treatment for familial adenomatous polyposis

Other · OtherCompany source

Recursion OS

AI-driven drug discovery and development platform

Platform · On PremiseCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

Evidence position

Publications, clinical validation, and regulatory records connected to this Company appear here.

Research

Publications & preprints

The Heterocycle Isostere Explorer: A Computational Tool for the Discovery of Novel Aromatic Heterocyclic Isosteres.

Journal of medicinal chemistry · Feb 26, 2026

Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations.

mAbs · Dec 1, 2025

Structural Biology Enabling Drug Discovery.

Journal of medicinal chemistry · Nov 27, 2025

New Machine Learning Models for Predicting the Organic Cation Transporters OCT1, OCT2, and OCT3 Uptake.

ACS omega · Sep 30, 2025

Optimizing Absolute Binding Free Energy Calculations for Production Usage.

Journal of chemical theory and computation · Sep 9, 2025

Basic Stability Tests of Machine Learning Potentials for Molecular Simulations in Computational Drug Discovery.

Journal of chemical information and modeling · Sep 8, 2025

Clinical validation

Clinical-trial records

Study to Assess GTAEXS617 in Participants With Advanced Solid Tumors

NCT05985655 · Sponsor · RECRUITING

Dose Determining Study of EXS73565 in Participants With Relapsed or Refractory B-Cell Malignancies

NCT06980116 · Sponsor · RECRUITING

Dose Determining Study of EXS74539 (REC-4539) in Participants With Select Solid Tumors

NCT07517198 · Sponsor · RECRUITING

Association of Ex Vivo Drug Response ( EVDR) and Clinical Outcome in Acute Myeloid Leukaemia (EXCYTE-2)

NCT06648512 · Sponsor · COMPLETED

Association of Ex Vivo Drug Response (EVDR) and Clinical Outcome in Ovarian Cancer

NCT06068738 · Sponsor · TERMINATED

Study to Assess EXS21546 in Combination in Patients With Advanced Solid Tumours

NCT05920408 · Sponsor · TERMINATED

Regulatory

Regulatory records

No linked records are currently available.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

Speed and efficiency improvements

From hit identification to IND-enabling studies compared to traditional pharmaceutical company averages

Cost reduction

Demonstrated reduced costs from hit identification to IND-enabling studies

90% failure rate reduction target

Mission to reduce the massive 90% failure rate of traditional drug discovery

Internal Pipeline

Demonstrated significant improvements in drug discovery speed and efficiency from hit identification to IND-enabling studies

Significant improvements in speed, efficiency, and reduced costs compared to traditional pharmaceutical company averages

NVIDIA

Built BioHive-2, biopharma's most powerful supercomputer to process massive biological and chemical datasets for AI drug discovery

Enabled processing of >50 petabytes of proprietary biological and chemical data

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

No active leadership profiles are currently listed.

06 · Company updates

Updates from Exscientia

Recent articles published on Exscientia's official website.

No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Drug Discovery & Development

Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.

Explore the full market directory or compare this Company with additional active profiles.

View all Companies in this market

10 · Pro research

Coming soon

Expanded Company research is in development.

Health AI Central Pro · Coming Soon

Deeper Company research is coming soon.

Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.

ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

Coming Soon