Arc Institute

aid: arc-institute
name: Arc Institute
description: Arc Institute is an independent nonprofit biomedical research organization headquartered in Palo Alto, California,
  co-founded in 2021 by Silvana Konermann (Executive Director), Patrick Hsu (Core Investigator), and Stripe co-founder Patrick
  Collison. With 300+ staff ("Arconauts") across 9 core laboratories and 5 technology centers, Arc develops AI foundation
  models for biology that span DNA, RNA, proteins, and single cells. Its flagship releases include Evo (Science, 2024) and
  Evo 2 (Nature, 2026) — DNA foundation models trained on trillions of nucleotides at single-nucleotide resolution with up
  to a 1-megabase context; STATE and Stack single-cell foundation models for cellular perturbation and in-context learning;
  the Arc Virtual Cell Atlas; the SRAgent LLM agents for bioinformatics; and the BINSEQ binary sequencing format. Models are
  released under Apache 2.0 on GitHub and Hugging Face, with hosted inference for Evo 2 available through NVIDIA BioNeMo and
  the NVIDIA build.nvidia.com API. Arc is funded by philanthropic donations from Patrick and John Collison, Vitalik Buterin,
  the Ron Conway family, Dustin Moskovitz, Daniel Gross, Elad Gil, and other technology benefactors; it does not sell APIs,
  SaaS, or models commercially.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/arc-institute.png
tags:
- Biomedical Research
- Computational Biology
- Genomics
- DNA Foundation Models
- Foundation Models
- Single Cell
- Protein Engineering
- Evo
- Evo 2
- Bioinformatics
- Non-Profit
- Open Source
- Machine Learning
- AI for Science
tags_raw:
- Biomedical Research
- Computational Biology
- Genomics
- DNA Foundation Models
- Foundation Models
- Single Cell
- Protein Engineering
- Evo
- Evo 2
- Bioinformatics
- Nonprofit
- Open Source
- Machine Learning
- AI for Science
- Open-Source
- Machine-Learning
url: https://raw.githubusercontent.com/api-evangelist/arc-institute/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/arc-institute-domain-security.yml
- type: Website
  url: https://arcinstitute.org
- type: About
  url: https://arcinstitute.org/about
- type: Programs
  url: https://arcinstitute.org/programs
- type: Tools
  url: https://arcinstitute.org/tools
- type: Models
  url: https://arcinstitute.org/model
- type: News
  url: https://arcinstitute.org/news
- type: Publications
  url: https://arcinstitute.org/publications
- type: Careers
  url: https://arcinstitute.org/jobs
- type: GitHubOrganization
  url: https://github.com/arcinstitute
- type: HuggingFace
  url: https://huggingface.co/arcinstitute
- type: Evo
  url: https://github.com/evo-design/evo
- type: Evo2
  url: https://github.com/arcinstitute/evo2
- type: HostedAPI
  url: https://build.nvidia.com/arc/evo2-40b
- type: BioNeMo
  url: https://docs.nvidia.com/bionemo-framework/latest/models/evo2.html
- type: Paper
  url: https://doi.org/10.1038/s41586-026-10176-5
- type: Paper
  url: https://www.science.org/doi/10.1126/science.ado9336
- type: LinkedIn
  url: https://www.linkedin.com/company/arc-institute
- type: Twitter
  url: https://twitter.com/arcinstitute
- type: YouTube
  url: https://www.youtube.com/@arcinstitute
- type: Blog
  url: https://arcinstitute.org/news
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com