aid: recursion-pharmaceuticals
name: Recursion Pharmaceuticals
description: >-
  Recursion Pharmaceuticals (NASDAQ: RXRX) is a Salt Lake City-based AI-enabled
  drug discovery company that operates the Recursion Operating System
  (Recursion OS), a vertically integrated platform combining automated wet-lab
  cellular phenomics, transcriptomics (Trekseq), proteomics, ADME, chemistry,
  and patient data with machine learning to map biology and design drug
  candidates. The platform runs on BioHive-2, a NVIDIA-built supercomputer
  ranked among the top global systems and dedicated to biopharma workloads,
  and is fed by 50+ petabytes of proprietary biological and chemical data. In
  November 2024 Recursion completed the acquisition of Exscientia, folding
  Exscientia's generative AI chemistry, Centaur Chemist, and clinical pipeline
  into the combined company; Recursion now runs more than 10 clinical and
  preclinical programs (REC-4881 for FAP, REC-3565 MALT1 inhibitor, REC-1245
  RBM39 for biomarker-enriched solid tumors and lymphomas, REC-617 CDK7
  inhibitor, REC-994 for cerebral cavernous malformation, REC-2282 for NF2-
  mutated meningiomas, REC-4209 for IPF, REC-7735 for HSD obesity), 10+
  advanced discovery programs, and 10+ partnered programs across Roche
  (Genentech), Bayer, Sanofi, and Merck KGaA (Darmstadt). Recursion does not
  currently expose paid commercial APIs to external developers; assets and
  data access are delivered through licensing, scientific collaborations, and
  the MapApp web product. Externally, Recursion ships substantial open
  tooling: the RxRx family of open phenomics datasets (RxRx1, RxRx2, RxRx3,
  RxRx3-core, RxRx19a, RxRx19b) hosted at rxrx.ai and Hugging Face, the
  OpenPhenom-S/16 foundation model (released on Hugging Face and Google
  Cloud's Model Garden, with Phenom-Beta on NVIDIA BioNeMo), the MolE
  molecular foundation model, the gflownet library for graph and molecular
  generative modeling, SynFlowNet/synflownet-boltz for retrosynthesis-aware
  molecular design, maes_microscopy (NeurIPS 2023 spotlight masked
  autoencoders for cell microscopy), and rxrx1-utils for the NeurIPS 2019
  CellSignal competition. The combination positions Recursion as a Tier-2 AI
  drug discovery provider with no commercial API surface but a meaningful
  open-source and open-model presence aimed at the computational biology
  research community.
type: Index
position: Provider
access: 3rd-Party
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - AI
  - Artificial Intelligence
  - Drug Discovery
  - Biotech
  - Pharmaceuticals
  - Phenomics
  - Cellular Imaging
  - Transcriptomics
  - Proteomics
  - Chemistry
  - Machine Learning
  - Foundation Models
  - Open Datasets
  - Open Source Models
  - Generative Chemistry
  - Oncology
  - Rare Disease
  - Clinical Trials
  - BioHive
  - Recursion OS
  - MOSAIC
  - MapApp
  - OpenPhenom
  - MolE
  - GFlowNet
  - RxRx
  - Exscientia
url: https://raw.githubusercontent.com/api-evangelist/recursion-pharmaceuticals/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.20'
apis: []
common:
  - type: Website
    url: https://www.recursion.com
  - type: Platform
    url: https://www.recursion.com/recursion-os
  - type: Pipeline
    url: https://www.recursion.com/pipeline
  - type: ClinicalTrials
    url: https://www.recursion.com/clinical-trials
  - type: Partnerships
    url: https://www.recursion.com/partners
  - type: Publications
    url: https://www.recursion.com/publications
  - type: OpenDatasets
    url: https://www.rxrx.ai
  - type: MapApp
    url: https://www.rxrx.ai/mapapp
  - type: PhenomModel
    url: https://www.rxrx.ai/phenom
  - type: HuggingFace
    url: https://huggingface.co/recursionpharma
  - type: HuggingFaceModel — OpenPhenom-S/16
    url: https://huggingface.co/recursionpharma/OpenPhenom
  - type: HuggingFaceDataset — RxRx3
    url: https://huggingface.co/datasets/recursionpharma/rxrx3
  - type: HuggingFaceDataset — RxRx3-core
    url: https://huggingface.co/datasets/recursionpharma/rxrx3-core
  - type: GitHubOrganization
    url: https://github.com/recursionpharma
  - type: SourceCode — gflownet
    url: https://github.com/recursionpharma/gflownet
  - type: SourceCode — MolE (mole_public)
    url: https://github.com/recursionpharma/mole_public
  - type: SourceCode — SynFlowNet-Boltz
    url: https://github.com/recursionpharma/synflownet-boltz
  - type: SourceCode — MAEs Microscopy
    url: https://github.com/recursionpharma/maes_microscopy
  - type: SourceCode — RxRx1 Utils
    url: https://github.com/recursionpharma/rxrx1-utils
  - type: SourceCode — RxRx Datasets
    url: https://github.com/recursionpharma/rxrx-datasets
  - type: ExternalModel — Phenom-Beta on NVIDIA BioNeMo
    url: https://build.nvidia.com/recursion
  - type: InvestorRelations
    url: https://ir.recursion.com
  - type: SECFilings
    url: https://ir.recursion.com/financials/sec-filings
  - type: Newsroom
    url: https://www.recursion.com/newsroom
  - type: Blog
    url: https://www.recursion.com/insights
  - type: Careers
    url: https://www.recursion.com/careers
  - type: LinkedIn
    url: https://www.linkedin.com/company/recursionpharma
  - type: Twitter
    url: https://twitter.com/RecursionPharma
  - type: YouTube
    url: https://www.youtube.com/@RecursionPharmaceuticals
  - type: StockTicker
    url: https://finance.yahoo.com/quote/RXRX
  - type: Acquisition — Exscientia
    url: https://ir.recursion.com/news-releases/news-release-details/recursion-completes-acquisition-exscientia
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com