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Arc Institute

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uuid0004cjq

Namestring
Arc Institute
Legal namestring
Arc Institute
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Arc Institute is an independent nonprofit research organization founded in 2021 and headquartered in Palo Alto, California, that operates at the intersection of artificial intelligence and biology. The institute is structured around two flagship initiatives — the Virtual Cell Initiative and the Alzheimer's Disease Initiative — supported by 9 Core Laboratories, 5 Technology Centers (Genome Engineering, Multiomics, Cellular Models, Mammalian Models, and Computational), and over 300 scientists ('Arconauts'). Arc's operational model is to provide multi-year, no-strings-attached funding to researchers in partnership with Stanford University, UCSF, and UC Berkeley, enabling long-horizon, high-risk work that traditional grant mechanisms undersupport.

The institute has built a portfolio of AI-native research outputs released as open-source, including Evo 2 (a biological foundation model trained on 9.3 trillion nucleotides from 128,000+ genomes), STATE (a virtual cell model trained on 267M+ cells predicting perturbation responses), Proto (a high-level programming language for generative biology), MULTI-evolve (a protein engineering framework), PerturbSpace (spatial CRISPR screening), and Germinal (generative antibody design). Underlying these models is the Arc Virtual Cell Atlas — a curated data asset combining scBaseCount (500M+ AI-agent-curated single cells) and Tahoe-100M (100M drug perturbation profiles). Outputs are distributed through GitHub, HuggingFace, and the Arc Institute website, with Evo 2 integrated into NVIDIA's BioNeMo framework. Validation is anchored in publications across Nature, Science, and Cell.

Arc Institute is funded entirely through philanthropic donations and grants rather than commercial revenue. Aggregate disclosed commitments exceed $1.6 billion, including the Audacious Project's $1.03 billion raise from 35 donor families, Biohub's $500 million Virtual Biology Initiative, the OpenAI Foundation's $100 million Alzheimer's grant, and founding donations from a coalition including Vitalik Buterin, the Collison brothers, Dustin Moskovitz, Elad Gil, and the Ron Conway family. The institute has no paying customers in the commercial sense; its 'customer base' is the global scientific community, which it engages through academic publications, open-source releases, the annual Virtual Cell Challenge competition (5,000+ registrants from 114 countries), social media, and the AIxBio Fellows Program.

Short descriptiontext

Arc Institute is a Palo Alto-based nonprofit research organization founded in 2021 that combines AI and experimental biology through 300+ scientists, 9 Core Labs, and 5 Technology Centers, serving the global scientific community via open-source AI models, datasets, and tools.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
251–500
akta.pro rankint
HeadquartersPalo Alto, United States
HQ citystring
Palo Alto
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
biomedical research institute, AI biology tools, genomic foundation models, virtual cell modeling, open source research
Industry3 codes
1AI/ML Platforms for Drug Discovery & Experiment Optimization
CodeHLAGAJAOPrimaryYes
2Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays)
CodeHLAAALAOPrimaryNo
3AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryNo
NAICS code2 codes
  • Research and Development in Biotechnology (except Nanobiotechnology)541714
  • Research and Development in the Physical, Engineering, and Life Sciences54171
SIC code1 code
  • Services-Commercial Physical & Biological Research8731
Product category
Biomedical Research
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Donations and Grants
TypeData Monetisation
Description

Arc Institute is a nonprofit research organization funded entirely through donations and grants from individual philanthropists, foundations, and partnerships. No commercial revenue model.

arcinstitute.org
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Others
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 of 7 records shown
1Virtual Cell Initiative (VCI)
Description

Initiative to build an accurate ML model that predicts how diverse cell types and states respond to drugs and genetic perturbations

arcinstitute.org
+6 more records
Core offering1 text field

Arc Institute conducts fundamental biomedical research and develops open-source AI models, datasets, and experimental tools to accelerate understanding of complex diseases such as cancer, neurodegeneration, and immune dysfunction. Its core deliverables include the Evo 2 genomic foundation model, the STATE virtual cell model, Proto (a programming language for generative biology), the Arc Virtual Cell Atlas (over 600 million curated single cells), and specialized platforms for genome engineering and multiomics. All outputs are released at no cost to the global scientific community through open-source channels.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Evo 2 achieves over 90% accuracy in distinguishing benign from pathogenic mutations in BRCA1 benchmark tests
+3 more records
Product overview1 text field

Arc Institute is a nonprofit research organization offering a comprehensive ecosystem of AI models, tools, datasets, and programs for biological research. The portfolio centers on Evo 2 (a genomic foundation model trained on 9 trillion DNA base pairs), Proto (a programming language for generative biology), and STATE (a virtual cell model predicting cellular perturbation responses). Supporting tools include PerturbSpace for spatial CRISPR screens, MULTI-evolve for protein engineering, Germinal for antibody design, and BioReason-Pro for protein function reasoning. The data foundation includes the Arc Virtual Cell Atlas with scBaseCount (500M+ curated single cells) and Tahoe-100M (100M drug perturbation profiles). Arc also hosts the annual Virtual Cell Challenge competition and runs the AIxBio Fellows Program for undergraduate researchers. All models and code are released as open-source through GitHub and HuggingFace for noncommercial use.

Product and service15 records
1Evo 2
CategoryAI Foundation Model
Description

A biological foundation model trained on 9 trillion DNA base pairs from over 128,000 genomes spanning all domains of life, with a 1 million token context window for predicting pathogenic mutations and designing genome-scale DNA sequences, available as open-source.

2Proto
CategoryGenerative Biology Software
Description

A high-level programming language framework for generative biology that integrates AI models for protein design, RNA engineering, and gene regulation, enabling complex multi-modal biological design through sequences, generators, constraints, and optimizers.

3STATE Virtual Cell Model
CategoryAI Foundation Model
Description

Arc's first-generation virtual cell model combining State Embedding (SE) and State Transition (ST) modules to predict how cells respond to chemical, genetic, and cytokine perturbations, trained on 167 million observational cells and 100 million+ perturbed cells.

4PerturbSpace
CategoryGenomics Platform
Description

A spatial profiling method combining CRISPR perturbations with antibody-based tissue hashing for in vivo Perturb-seq, mapping tissue location alongside transcriptome and CRISPR guide identity at neighborhood-level resolution.

5Arc Virtual Cell Atlas
CategoryResearch Dataset
Description

A growing collection of curated open single-cell datasets for virtual cell model training, encompassing over 600 million cells from observational and perturbational experiments.

6MULTI-evolve
CategoryProtein Engineering Tool
Description

A rapid evolution framework using protein language models with epistatic modeling to predict and construct hyperactive multi-mutant proteins, achieving up to 256-fold improvements on multiple protein engineering targets.

7Germinal
CategoryGenerative Biology Software
Description

A generative antibody design pipeline that designs antibodies against specific epitopes with nanomolar binding affinities while requiring only low-n experimental testing.

8Bridge Recombinases
CategoryGenome Editing Technology
Description

A programmable, RNA-guided DNA recombinase system that enables precise insertion, inversion, and excision of DNA segments through a universal mechanism, representing a programmable editing approach beyond CRISPR, as published in Nature.

9Stack
CategoryAI Foundation Model
Description

A foundation model trained on 149 million uniformly preprocessed human single cells, leveraging tabular attention to generate contextual cell representations for in-context learning of single-cell biology.

10scBaseCount
CategoryResearch Dataset
Description

An AI agent-curated single-cell RNA-seq database that automatically discovers, annotates, and reprocesses public single-cell data from over 500 million cells spanning 21 organisms and 72 tissues with standardized preprocessing.

11Tahoe-100M
CategoryResearch Dataset
Description

A single-cell dataset containing 100 million cells from approximately 60,000 drug perturbation experiments mapping responses of 50 cancer models to more than 1,100 drug treatments.

12BioReason-Pro
CategoryAI Foundation Model
Description

A multimodal reasoning large language model for protein function prediction that integrates protein embeddings with biological context to generate structured reasoning traces about protein mechanisms and druggability.

13IDLI
CategoryComputational Genomics Tool
Description

Iteratively Defined Lengths of Inaccessibility — a computational method that maps single-molecule nucleosome structure at genome scale, classifying nucleosomes into 14 distinct structural states to reveal regulated chromatin accessibility patterns.

14COURIER
CategoryCellular Monitoring Platform
Description

A cell monitoring system enabling cells to secrete RNA that encodes information about their behavior, supporting non-destructive longitudinal genomics to study dynamic biological processes in living systems.

15Virtual Cell Challenge
CategoryResearch Competition
Description

An annual machine learning competition with a $100,000 grand prize for building models that predict how gene expression shifts in response to perturbations, supported by benchmark datasets and a live leaderboard.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership14 partners
Strategic tierFlagshipTypeTechnology or IntegrationAnnounced on2026-05-02
Description

NVIDIA serves as a key technology partner providing accelerated computing infrastructure (H100 GPUs) and integrated Evo 2 into their BioNeMo framework for the Virtual Biology Initiative.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-04-29
Description

Biohub is backing the Virtual Biology Initiative with $500 million ($100M for global data collection, $400M for internal data generation and technologies). Arc Institute is a key participating institution alongside Allen Institute, Broad Institute, Human Cell Atlas, Human Protein Atlas, and Wellcome Sanger Institute.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-02-25
Description

Tahoe generated the Tahoe-100M dataset (100 million cells from ~60,000 drug perturbation experiments) for Arc's Virtual Cell Atlas using their Mosaic platform. This collaboration provides computational-ready single-cell data for training virtual cell models.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-01-01
Description

NVIDIA served as a key sponsor of Arc's Virtual Cell Challenge competition, providing support for the $100,000 grand prize and advancing the virtual cell modeling field.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-01-01
Description

10x Genomics served as a sponsor of Arc's Virtual Cell Challenge competition, supporting innovation in single-cell perturbation prediction modeling.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-01-01
Description

Ultima Genomics served as a sponsor of Arc's Virtual Cell Challenge competition, supporting the advancement of virtual cell modeling.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Partner in the Virtual Biology Initiative, collaborating with Arc Institute, Broad Institute, and other leading institutions to build the data foundation for AI-accelerated biology.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Partner in the Virtual Biology Initiative, contributing to the global effort to create the open data foundation for AI-accelerated biology.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Partner in the Virtual Biology Initiative, participating in the coordinated worldwide data generation effort for building AI models of the human cell.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Partner in the Virtual Biology Initiative, contributing single-cell reference data and expertise for AI-accelerated biology.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Partner in the Virtual Biology Initiative, contributing protein reference data for the global effort to create the data foundation for AI models of human biology.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2021-01-01
Description

Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at Stanford, and Stanford graduate students can pursue PhD studies at Arc labs.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2021-01-01
Description

Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at UCSF, and UCSF students can pursue PhD studies at Arc labs.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2021-01-01
Description

Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at UC Berkeley, and Berkeley students can pursue PhD studies at Arc labs.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Market position
Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

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Headline, Details, Source

Key highlights7 records

Each record includes

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Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration3 records

Each record includes

Title, Type, Description, Source

AI capability24 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
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Number of profiles
Profiles12 records

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Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Arc Institute

Biomedical Researcharcinstitute.org

Arc Institute is a Palo Alto-based nonprofit research organization founded in 2021 that combines AI and experimental biology through 300+ scientists, 9 Core Labs, and 5 Technology Centers, serving the global scientific community via open-source AI models, datasets, and tools.

What Arc Institute does

Arc Institute is an independent nonprofit research organization founded in 2021 and headquartered in Palo Alto, California, that operates at the intersection of artificial intelligence and biology. The institute is structured around two flagship initiatives — the Virtual Cell Initiative and the Alzheimer's Disease Initiative — supported by 9 Core Laboratories, 5 Technology Centers (Genome Engineering, Multiomics, Cellular Models, Mammalian Models, and Computational), and over 300 scientists ('Arconauts'). Arc's operational model is to provide multi-year, no-strings-attached funding to researchers in partnership with Stanford University, UCSF, and UC Berkeley, enabling long-horizon, high-risk work that traditional grant mechanisms undersupport.

The institute has built a portfolio of AI-native research outputs released as open-source, including Evo 2 (a biological foundation model trained on 9.3 trillion nucleotides from 128,000+ genomes), STATE (a virtual cell model trained on 267M+ cells predicting perturbation responses), Proto (a high-level programming language for generative biology), MULTI-evolve (a protein engineering framework), PerturbSpace (spatial CRISPR screening), and Germinal (generative antibody design). Underlying these models is the Arc Virtual Cell Atlas — a curated data asset combining scBaseCount (500M+ AI-agent-curated single cells) and Tahoe-100M (100M drug perturbation profiles). Outputs are distributed through GitHub, HuggingFace, and the Arc Institute website, with Evo 2 integrated into NVIDIA's BioNeMo framework. Validation is anchored in publications across Nature, Science, and Cell.

Arc Institute is funded entirely through philanthropic donations and grants rather than commercial revenue. Aggregate disclosed commitments exceed $1.6 billion, including the Audacious Project's $1.03 billion raise from 35 donor families, Biohub's $500 million Virtual Biology Initiative, the OpenAI Foundation's $100 million Alzheimer's grant, and founding donations from a coalition including Vitalik Buterin, the Collison brothers, Dustin Moskovitz, Elad Gil, and the Ron Conway family. The institute has no paying customers in the commercial sense; its 'customer base' is the global scientific community, which it engages through academic publications, open-source releases, the annual Virtual Cell Challenge competition (5,000+ registrants from 114 countries), social media, and the AIxBio Fellows Program.

Arc Institute firmographics

Firmographics
Name
Arc Institute
Legal name
Arc Institute
Website
https://arcinstitute.org
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
251–500 employees
Short description
Arc Institute is a Palo Alto-based nonprofit research organization founded in 2021 that combines AI and experimental biology through 300+ scientists, 9 Core Labs, and 5 Technology Centers, serving the global scientific community via open-source AI models, datasets, and tools.
Ownership category
akta.pro rank

Arc Institute industry classification

Industry
Product category
Biomedical Research
NAICS
Research and Development in Biotechnology (except Nanobiotechnology) (541714), Research and Development in the Physical, Engineering, and Life Sciences (54171)
SIC
Services-Commercial Physical & Biological Research (8731)
akta.pro primary industry
AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)
akta.pro secondary industries
Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

  • Biomedical research institute
  • AI biology tools
  • Genomic foundation models
  • Virtual cell modeling
  • Open source research

Where Arc Institute is headquartered

Location

Headquarters

HQ city
Palo Alto
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Arc Institute business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Operations, Infrastructure, Others

Revenue model

  1. Donations and Grants: Arc Institute is a nonprofit research organization funded entirely through donations and grants from individual philanthropists, foundations, and partnerships. No commercial revenue model.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels6 records

Arc Institute product offering

Product offering

Core offering

Arc Institute conducts fundamental biomedical research and develops open-source AI models, datasets, and experimental tools to accelerate understanding of complex diseases such as cancer, neurodegeneration, and immune dysfunction. Its core deliverables include the Evo 2 genomic foundation model, the STATE virtual cell model, Proto (a programming language for generative biology), the Arc Virtual Cell Atlas (over 600 million curated single cells), and specialized platforms for genome engineering and multiomics. All outputs are released at no cost to the global scientific community through open-source channels.

Product overview

Arc Institute is a nonprofit research organization offering a comprehensive ecosystem of AI models, tools, datasets, and programs for biological research. The portfolio centers on Evo 2 (a genomic foundation model trained on 9 trillion DNA base pairs), Proto (a programming language for generative biology), and STATE (a virtual cell model predicting cellular perturbation responses). Supporting tools include PerturbSpace for spatial CRISPR screens, MULTI-evolve for protein engineering, Germinal for antibody design, and BioReason-Pro for protein function reasoning. The data foundation includes the Arc Virtual Cell Atlas with scBaseCount (500M+ curated single cells) and Tahoe-100M (100M drug perturbation profiles). Arc also hosts the annual Virtual Cell Challenge competition and runs the AIxBio Fellows Program for undergraduate researchers. All models and code are released as open-source through GitHub and HuggingFace for noncommercial use.

Differentiator

Problem solved

Functional benefit

Brands

  • Virtual Cell Initiative (VCI): Initiative to build an accurate ML model that predicts how diverse cell types and states respond to drugs and genetic perturbations
  • Alzheimer's Disease Initiative (ADI)
  • Virtual Cell Challenge
  • Arc Virtual Cell Atlas
  • STATE
  • Evo 2
  • Proto

Products and services

  • Evo 2 A biological foundation model trained on 9 trillion DNA base pairs from over 128,000 genomes spanning all domains of life, with a 1 million token context window for predicting pathogenic mutations and designing genome-scale DNA sequences, available as open-source.
  • Proto A high-level programming language framework for generative biology that integrates AI models for protein design, RNA engineering, and gene regulation, enabling complex multi-modal biological design through sequences, generators, constraints, and optimizers.
  • STATE Virtual Cell Model Arc's first-generation virtual cell model combining State Embedding (SE) and State Transition (ST) modules to predict how cells respond to chemical, genetic, and cytokine perturbations, trained on 167 million observational cells and 100 million+ perturbed cells.
  • PerturbSpace A spatial profiling method combining CRISPR perturbations with antibody-based tissue hashing for in vivo Perturb-seq, mapping tissue location alongside transcriptome and CRISPR guide identity at neighborhood-level resolution.
  • Arc Virtual Cell Atlas A growing collection of curated open single-cell datasets for virtual cell model training, encompassing over 600 million cells from observational and perturbational experiments.
  • MULTI-evolve A rapid evolution framework using protein language models with epistatic modeling to predict and construct hyperactive multi-mutant proteins, achieving up to 256-fold improvements on multiple protein engineering targets.
  • Germinal A generative antibody design pipeline that designs antibodies against specific epitopes with nanomolar binding affinities while requiring only low-n experimental testing.
  • Bridge Recombinases A programmable, RNA-guided DNA recombinase system that enables precise insertion, inversion, and excision of DNA segments through a universal mechanism, representing a programmable editing approach beyond CRISPR, as published in Nature.
  • Stack A foundation model trained on 149 million uniformly preprocessed human single cells, leveraging tabular attention to generate contextual cell representations for in-context learning of single-cell biology.
  • scBaseCount An AI agent-curated single-cell RNA-seq database that automatically discovers, annotates, and reprocesses public single-cell data from over 500 million cells spanning 21 organisms and 72 tissues with standardized preprocessing.
  • Tahoe-100M A single-cell dataset containing 100 million cells from approximately 60,000 drug perturbation experiments mapping responses of 50 cancer models to more than 1,100 drug treatments.
  • BioReason-Pro A multimodal reasoning large language model for protein function prediction that integrates protein embeddings with biological context to generate structured reasoning traces about protein mechanisms and druggability.
  • IDLI Iteratively Defined Lengths of Inaccessibility — a computational method that maps single-molecule nucleosome structure at genome scale, classifying nucleosomes into 14 distinct structural states to reveal regulated chromatin accessibility patterns.
  • COURIER A cell monitoring system enabling cells to secrete RNA that encodes information about their behavior, supporting non-destructive longitudinal genomics to study dynamic biological processes in living systems.
  • Virtual Cell Challenge An annual machine learning competition with a $100,000 grand prize for building models that predict how gene expression shifts in response to perturbations, supported by benchmark datasets and a live leaderboard.

Quantifiable outcome

  • Evo 2 achieves over 90% accuracy in distinguishing benign from pathogenic mutations in BRCA1 benchmark tests
  • +3 more outcomes

Companies that use Arc Institute

Customer profile

Named customers1 record

Segments2 records

Ideal customer profiles2 records

Arc Institute technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability24 records

Feature6 records

Arc Institute partnerships and signals

Strategic signal

Partnerships

14 partnerships are on record, tiered flagship and core.

  • NVIDIAflagshipTechnology or Integration · 2 May 2026NVIDIA serves as a key technology partner providing accelerated computing infrastructure (H100 GPUs) and integrated Evo 2 into their BioNeMo framework for the Virtual Biology Initiative.
  • Biohub (Mark Zuckerberg and Priscilla Chan)flagshipStrategic or Co-development Partner · 29 April 2026Biohub is backing the Virtual Biology Initiative with $500 million ($100M for global data collection, $400M for internal data generation and technologies). Arc Institute is a key participating institution alongside Allen Institute, Broad Institute, Human Cell Atlas, Human Protein Atlas, and Wellcome Sanger Institute.
  • Tahoe Therapeutics (formerly Vevo Therapeutics)coreStrategic or Co-development Partner · 25 February 2025Tahoe generated the Tahoe-100M dataset (100 million cells from ~60,000 drug perturbation experiments) for Arc's Virtual Cell Atlas using their Mosaic platform. This collaboration provides computational-ready single-cell data for training virtual cell models.
  • NVIDIA (Virtual Cell Challenge Sponsor)coreTechnology or Integration · 1 January 2025NVIDIA served as a key sponsor of Arc's Virtual Cell Challenge competition, providing support for the $100,000 grand prize and advancing the virtual cell modeling field.
  • 10x Genomics (Virtual Cell Challenge Sponsor)coreTechnology or Integration · 1 January 202510x Genomics served as a sponsor of Arc's Virtual Cell Challenge competition, supporting innovation in single-cell perturbation prediction modeling.
  • Ultima Genomics (Virtual Cell Challenge Sponsor)coreTechnology or Integration · 1 January 2025Ultima Genomics served as a sponsor of Arc's Virtual Cell Challenge competition, supporting the advancement of virtual cell modeling.
  • Allen InstitutecoreStrategic or Co-development Partner · 1 January 2025Partner in the Virtual Biology Initiative, collaborating with Arc Institute, Broad Institute, and other leading institutions to build the data foundation for AI-accelerated biology.
  • Broad InstitutecoreStrategic or Co-development Partner · 1 January 2025Partner in the Virtual Biology Initiative, contributing to the global effort to create the open data foundation for AI-accelerated biology.
  • Wellcome Sanger InstitutecoreStrategic or Co-development Partner · 1 January 2025Partner in the Virtual Biology Initiative, participating in the coordinated worldwide data generation effort for building AI models of the human cell.
  • Human Cell AtlascoreStrategic or Co-development Partner · 1 January 2025Partner in the Virtual Biology Initiative, contributing single-cell reference data and expertise for AI-accelerated biology.
  • Human Protein AtlascoreStrategic or Co-development Partner · 1 January 2025Partner in the Virtual Biology Initiative, contributing protein reference data for the global effort to create the data foundation for AI models of human biology.
  • Stanford UniversitycoreStrategic or Co-development Partner · 1 January 2021Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at Stanford, and Stanford graduate students can pursue PhD studies at Arc labs.
  • University of California, San Francisco (UCSF)coreStrategic or Co-development Partner · 1 January 2021Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at UCSF, and UCSF students can pursue PhD studies at Arc labs.
  • University of California, Berkeley (UC Berkeley)coreStrategic or Co-development Partner · 1 January 2021Founding university partner with dual-appointment faculty opportunities. Core Investigators may hold faculty positions at UC Berkeley, and Berkeley students can pursue PhD studies at Arc labs.

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Arc Institute competitors and assessment

Company assessment

Market position

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Arc Institute social profiles

Digital presence

Arc Institute financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Arc Institute leadership team

Management profile

Number of profiles

Profiles12 records

Arc Institute funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Arc Institute M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Arc Institute

What does Arc Institute do?

Arc Institute conducts fundamental biomedical research and develops open-source AI models, datasets, and experimental tools to accelerate understanding of complex diseases such as cancer, neurodegeneration, and immune dysfunction. Its core deliverables include the Evo 2 genomic foundation model, the STATE virtual cell model, Proto (a programming language for generative biology), the Arc Virtual Cell Atlas (over 600 million curated single cells), and specialized platforms for genome engineering and multiomics. All outputs are released at no cost to the global scientific community through open-source channels.

Is Arc Institute a public or private company?

Arc Institute is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Arc Institute founded?

Arc Institute was founded in 2021. It employs 251 to 500 people.

Where is Arc Institute based?

Arc Institute is headquartered in Palo Alto, United States, in the North America region.

How does Arc Institute make money?

One revenue line is on record: donations and Grants.

Does Arc Institute have an API?

No public API is recorded for Arc Institute.

What industry is Arc Institute in?

Arc Institute's product category is Biomedical Research. Its primary akta.pro industry code is HLAGAJAO, AI/ML Platforms for Drug Discovery & Experiment Optimization, with a secondary code of HLAAALAO, Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays). Its NAICS code is 541714 and its SIC code is 8731.

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Live signals
IfengAI created a virus, achieving its first kill.Scientists used AI software Evo to create 16 new viruses that kill drug-resistant E. coli, marking the first AI-generated organic life. The research, from Stanford and the Arc Institute, could aid phage therapies but raises biosafety concerns. Anthropic banned some accounts, and a report says AI-related pandemic risk rose fivefold by 2026.Health ExecAmerican scientists just proved AI capable of bioengineering contagious diseases. How is that a good thing?Ethics professors Jesuit Father Myles Sheehan, MD, and Laura DeNardis, PhD, discussed the Stanford-Arc Institute study in an Aug. 25 Georgetown University interview, in which researchers used AI trained on viral genomes to design entirely new viruses. They said the work has therapeutic potential against drug-resistant bacteria but also dual-use bioweapon risks, noting the generated viruses were designed not to infect eukaryotic cells.Georgetown AlumniAI Can Now Create Viruses. Should We Let It?Georgetown professors Myles Sheehan and Laura DeNardis discuss a Stanford and Arc Institute study published in Science, in which AI designed the first genomes of synthetic bacteriophages that killed E. coli in the lab. The researchers used genome language models trained on genetic sequences, and the study notes safeguards including data guardrails and a human-in-the-loop. The authors call for federal and international regulation of AI biotech models.mindbodygreenYour Gut May Be Behind Age-Related Memory Loss—And New Research Shows It Could Be ReversibleA study published in Nature by the Arc Institute reveals that age-related memory loss in mice is driven by gut bacteria producing medium-chain fatty acids that impair vagus nerve signaling. Researchers successfully reversed cognitive decline in aged mice using targeted bacteriophages and GLP-1 receptor agonists to restore gut-brain communication.Popular MechanicsAI Just Designed New Viruses From Scratch. What Could Go Wrong?A research team led by Stanford University and the Arc Institute successfully used an AI model named Evo 2 to design and synthesize novel bacteriophages capable of infecting E. coli bacteria. The project, supported by NVIDIA which made the model open-source, aims to combat antimicrobial resistance while operating within strict safety constraints that exclude human-pathogen data from training.ForbesAI Can Now Make Deepfake Biological Viruses. We Are Not PreparedStanford researchers and the Arc Institute utilized generative AI models, specifically Evo 1 and Evo 2 developed by Radical Numerics, to create functional bacteriophage genomes from scratch, as published in *Science*. This breakthrough demonstrates that AI can design biological sequences that evade existing detection systems, raising significant biosecurity concerns about potential misuse. The event has exposed gaps in current regulatory frameworks, prompting calls for urgent development of new safeguards against AI-composed pathogens.The HinduWhat happens when AI begins to design viruses?Researchers at Stanford University and the Arc Institute utilized AI genome language models to design bacteriophage genomes, resulting in 16 functional viruses out of 285 tested designs. This breakthrough demonstrates AI's capacity to propose complex genetic modifications that can overcome bacterial resistance, offering new potential for phage therapy and drug discovery. The development raises significant biosecurity concerns regarding the acceleration of biological engineering capabilities.NaturalNewsBlogsAI Is Now Engineering Pathogenic Proteins That Could Threaten the Entire Human Race – NaturalNews.comResearchers at Stanford University and the Arc Institute used generative AI to design 16 novel bacteriophages, marking the first successful creation of whole viral genomes by artificial intelligence. The article argues this technology poses a significant biosecurity risk by enabling the potential engineering of pathogenic proteins for bioweapons, citing concerns over DARPA's related research programs. It further claims that mainstream virology is flawed and promotes natural nutritional defenses against such engineered biological agents.AfrotechScientists Used OpenAI To Create 16 New Viruses Not Seen In Nature But Will This Hurt More Than Help? - AfroTechScientists from Stanford University and the Arc Institute used OpenAI's AI model EVO to create 16 synthetic viruses that do not exist in nature, marking the first time AI has been used to design novel viral genomes. The researchers acknowledge this achievement raises urgent biosafety and biosecurity concerns, noting in a Science commentary that while generative AI can now compose viral genomes, the governance frameworks to safely regulate such capabilities do not yet exist.SaysAI Has Now Designed Functional Viruses From Scratch, Scientists SayResearchers from Stanford University and the Arc Institute developed an AI tool called Evo that designed functional, synthetic viral genomes from scratch by analyzing genetic sequences from millions of organisms. The team constructed and lab-tested approximately 300 viral genomes, ultimately producing 16 viable viruses capable of targeting bacteria, including drug-resistant strains. Experts expressed concerns regarding biosafety and the regulatory landscape surrounding these advancements in AI-driven synthetic biology.