Asset Manager

Updated:

Recursion Pharmaceuticals

Recursion Pharmaceuticals uses automated cell imaging and AI to discover drugs for cancer and rare disease from its Salt Lake City hub.

Recursion Pharmaceuticals

Dive into Recursion's innovative approach to decoding biology. Join our mission & explore what AI drug discovery companies can do. Contact us today!

General information

Firm type

Asset Manager

Year founded

AUM

Undisclosed

Location

Region

North America

Country

United States

City

Salt Lake City

Corporate office

Salt Lake City, UT, United States

Principals

Chris Gibson

Co-Founder & Chairman of the Board

Najat Khan

Chief Executive Officer

Sector focus

Digital HealthAI/MLHealthcare Services

Frequently asked questions

Who leads Recursion's drug discovery strategy?

Najat Khan serves as CEO, while Chris Gibson — the co-founder who originated the cellular imaging approach — remains chairman. The executive team oversees distinct research, clinical, and technology functions that feed the Recursion OS platform. The firm lists ten board members with deep biotech and AI expertise.

How does Recursion's discovery platform differ from traditional pharma?

Recursion replaces hypothesis-driven discovery with a high-throughput, image-based phenomics engine. Computer vision extracts features from millions of cell experiments, and machine-learning models map those features to disease biology. This closed loop permits rapid target identification, lead optimization, and safety screening.

What clinical-stage programs is Recursion advancing?

The pipeline includes REC-3565, a MALT1 inhibitor in Phase 1 for B-cell lymphomas, and studies targeting solid tumors such as ELUCIDATE and DAHLIA. The company focuses on first-in-class and best-in-class therapies for aggressive cancers and rare diseases with high unmet need.

Does Recursion partner with other organizations?

Yes. Recursion pursues pharmaceutical partnerships, technology collaborations (notably with NVIDIA, which co-built the BioHive-2 supercomputer), and data partnerships that augment its proprietary datasets. These alliances help accelerate discovery and extend the platform's reach.

How large is Recursion's proprietary dataset?

As disclosed by the firm, the dataset exceeds 50 petabytes across phenomics, transcriptomics, proteomics, ADME, and de-identified patient records. Automated labs in Salt Lake City continuously generate new data, which feeds back into the Recursion OS models.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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