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AI Alliance

Full company profile

uuid00smbun

Namestring
AI Alliance
Legal namestring
AI Alliance Community, Inc.
Websiteurl
thealliance.ai
Company typeenum
Private
Founded yearint
2025
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
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
open source AI, AI research consortium, machine learning models, AI safety evaluation, federated AI training
Industry5 codes
1AI Governance, Risk & Compliance (GRC) Platforms
CodeHDAAAMAAPrimaryYes
2Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
3Responsible AI, AI Governance & Compliance Services
CodeBPAEAHAJPrimaryNo
4AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI)
CodeHDAEANAIPrimaryNo
5Audit, Explainability & Accountability Tooling (traceability, reporting)
CodeHDAAAKALPrimaryNo
NAICS code3 codes
  • Business Associations813910
  • Software Publishers5132
  • Professional Organizations81392
SIC code2 codes
  • Services-Membership Organizations8600
  • Services-Prepackaged Software7372
Product category
Open Source AI Development
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1Membership Contributions
TypeSubscription Recurring
Description

As a non-profit 501(c)(3) organization, the AI Alliance is funded through membership contributions from over 180 technology companies, universities, research institutions, and nonprofits. Membership is by invitation.

prnewswire.com
2Grants and Donations
TypeData Monetisation
Description

The Alliance may receive grants and donations to support open-source AI research and development initiatives, including programs like Project Tapestry.

prnewswire.com
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

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

Cost components5 values
Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 10 records shown
1Project Tapestry
Description

An open-source platform for globally federated development of frontier AI models, preserving sovereignty and enabling distributed training.

thealliance.ai
+9 more records
Core offering1 text field

The AI Alliance is a non-profit consortium that advances open-source AI through member-driven working groups, producing open foundation models, agent frameworks, evaluation benchmarks, and trusted data initiatives. Its offerings are released as free open-source software on GitHub and disseminated via community programs (Office Hours, meetups), supporting collaborative AI research across agents, models, data, safety, and governance.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Present in 29 countries with regional chapters in Thailand, Japan, India, Indonesia
+2 more records
Product overview1 text field

The AI Alliance is a global non-profit consortium (501(c)(3) organization) co-founded by IBM and Meta, with over 200 member organizations, dedicated to advancing open, safe, and responsible AI through open innovation. The organization's product portfolio centers on the Open Agent Hub ecosystem—which includes AgentLabUI (AI workbench for building agents), Gofannon (agent tools), Agent UI (user-facing delivery layer), and MCP-Agent with Deep Orchestrator (open-source agent frameworks)—and Project Tapestry (federated AI model training platform). The portfolio also features domain-specific foundation models including Llamarine (maritime), SemiKong (semiconductor), GEO-Bench-2 (geospatial evaluation), and Dana/OpenDXA (industrial AI). Additional offerings include evaluation tools (EvalAssist, Evaluation Reference Stack), data initiatives (OTDI, SYNTH), validated deployment patterns, and community programs (Office Hours, meetups). The architecture is a platform-plus-modules design where Open Agent Hub serves as the central collaboration community, with specialized products addressing domain-specific AI, evaluation, data trust, and enterprise deployment.

Product and service18 records
1Project Tapestry
CategoryOpen-source AI platform
Description

An open-source platform for globally federated development of frontier AI models, enabling distributed training where institutions, industries, and nations co-train shared open foundation models while retaining data sovereignty and control over their own derivatives.

2Open Agent Hub
CategoryOpen-source ecosystem
Description

A collaborative community hub of open-source AI projects and domain-specific workgroups focused on making AI agents successful in real-world enterprise applications through experimentation and reference architectures.

3AgentLabUI
CategoryAI development workbench
Description

An AI practitioner's workbench functioning as an AI switchboard with models, tools, and MCP server connections, enabling teams to swap LLMs across providers, build modular tools, and deploy agents to LangChain, Bedrock, and other frameworks with SSO and secure tenancy.

4Gofannon
CategoryAgent development toolkit
Description

A set of agent tools for building AI agent front-end user interfaces, enabling organizations to provide non-technical staff with clean, intuitive access to AI agents created in AgentLabUI.

5MCP-Agent
CategoryAgent framework
Description

An open-source framework for building AI agents using the Model Context Protocol (MCP), enabling connection of LLMs to MCP servers for tool calls, context gathering, and decision-making in complex workflows including deep research.

6Deep Orchestrator
CategoryAgent architecture
Description

An agent architecture within MCP-Agent designed for deep research workflows, using planner LLMs, dynamic subagents, FIFO TODO queues, external memory/knowledge banks, and deterministic plan verification for complex task completion.

7Llamarine
CategoryDomain foundation model
Description

A maritime large language model built on Llama 3.1 70B for the maritime industry, providing deterministic, regulation-compliant guidance for collision avoidance, COLREGs interpretation, and operational decision-making.

8SemiKong
CategoryDomain foundation model
Description

A fully open foundation model for the semiconductor industry, developed by Aitomatic and Tokyo Electron as a template for domain-specific open models that compete with proprietary alternatives.

9GEO-Bench-2
CategoryAI evaluation benchmark
Description

An enhanced evaluation ecosystem for Geospatial Foundation Models aggregating 19 datasets into 9 capability subsets with flexible evaluation protocols, extensive baseline experiments, and a public leaderboard for benchmarking GeoFMs.

10CUGA (Configurable Generalist Agent Harness)
CategoryAgent harness
Description

An open-source, configurable generalist agent harness for enterprise work, ranked top-tier on AppWorld and WebArena benchmarks, with configurable reasoning modes, OpenAPI/MCP/LangChain tool integration, multi-agent orchestration, enterprise policy system, and Python SDK.

11EvalAssist
CategoryAI evaluation tool
Description

An open-source tool from IBM Research for building trustworthy evaluation pipelines using LLM-as-a-Judge, supporting direct assessment, pairwise comparison, bias checks, and chain-of-thought explanations built on Unitxt.

12Dana Agent Framework
CategoryAgent framework
Description

An open framework for building reliable, domain-aware agents that connect language models to real-world tools and workflows, part of the Open Agent Hub ecosystem.

13Dana
CategoryAgent programming language
Description

An AI-powered programming language that generates code from natural language descriptions, and an open-source agentic OS that unifies natural language, symbolic reasoning, and structured execution in a language purpose-built for agents.

14OpenDXA
CategoryAgent framework
Description

An open-source agent framework for industrial applications, enabling domain-specific agentic AI systems for manufacturing, logistics, and other industrial use cases.

15GEO-Bench
CategoryAI evaluation benchmark
Description

An open benchmark suite for evaluating geospatial foundation models (GeoFMs), supporting open research at the intersection of AI and Earth observation with datasets for land cover, building detection, and change detection.

16Open Trusted Data Initiative (OTDI)
CategoryData trust initiative
Description

A catalog of open datasets scored by trust, built on a metadata specification for data provenance, lineage, and utility, ensuring AI systems are only as trustworthy as the data they are built on.

17SYNTH
CategorySynthetic data tooling
Description

Open standards and tooling for synthetic data generation, helping the community build datasets that respect provenance and licensing requirements.

18Validated Patterns
CategoryReference architecture
Description

Reference architectures and proven implementation patterns for deploying open AI in enterprise environments, bridging the gap between experimentation and production deployment.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership20 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-06-19
Description

BharatGen will anchor India's participation in Project Tapestry, immediately co-leading workstreams focused on distributed model training. Represents India's role in the global sovereign AI consortium.

2Yann LeCun
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-04-16
Description

Turing Award winner and NYU Professor joins as Chief Science Advisor to AI Alliance and Project Tapestry. Guides scientific direction focusing on Project Tapestry as it advances from architecture to technical implementation.

thealliance.ai
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-04-16
Description

First new Indonesian Chapter member as AI Alliance expands to Indonesia. Will collaborate on skills development using IBM SkillsBuild for Academia to support Indonesia's AI vision.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-09-17
Description

AI Alliance participates in NAIRR Pilot Deep Partnership program bringing together Mass Open Cloud, Red Hat, and IBM Research to provide computing resources, cloud platform, and AI tools to researchers and educators.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

IBM serves as founding co-chair alongside Meta with board representation. IBM provides leadership in AI Alliance's 501(c)(3) research lab and 501(c)(6) technology association. IBM Research contributes tools to NAIRR Pilot and leads projects like GEO-Bench-2, EvalAssist, and Dana agent framework.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Meta serves as founding co-chair alongside IBM. Hosted inaugural Open Source AI Summit for Advancing Scientific Discovery. Contributed Llama models and FAIR research to the alliance ecosystem. Meta's open models power many alliance projects.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member representing the AI Alliance's governance structure for the incorporated non-profit entities.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member providing web crawl data infrastructure for open AI training datasets.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member contributing to benchmarks and evaluation standards for AI model performance.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member and co-host of Roundtable on Open Source AI with AI Ethics and Policy Network. Leading voice in European open-source AI governance.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member and technical lead for SemiKong (semiconductor model) and Llamarine (maritime model). Created Dana agent framework. Dr. Christopher Nguyen serves as Board Member and Project Tapestry Chief Architect.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-06-20
Description

Board member and co-lead of GEO-Bench-2 geospatial AI benchmark initiative alongside IBM.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Provides computing resources (GPUs, CPUs, storage) for NAIRR Pilot Deep Partnership, enabling researchers access to enterprise-grade infrastructure.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Provides enterprise cloud platform with tools across the full AI lifecycle for NAIRR Pilot Deep Partnership program.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Opens entire toolkit for NAIRR Pilot including Granite models for language/code/vision, InstructLab for model adaptation, and Docling for document conversion.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Co-developed Llamarine maritime LLM with Aitomatic. Provided deep maritime domain expertise including navigation regulations (COLREGs), vessel operations, and practical seamanship knowledge to ensure model reflects real-world operations.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Co-developed SemiKong, the first semiconductor-specific large language model, with Aitomatic at SemiCon West 2024.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Introduced Wikimedia datasets to the Open Trusted Data Initiative for open, trusted data catalog.

19GEO-Bench-2 Consortium
Strategic tierCoreTypeStrategic or Co-development Partner
Description

GEO-Bench-2 led by IBM and ServiceNow in collaboration with MBZUAI, NASA, ESA Φ-lab, Technical University Munich, Arizona State University, Clark University under AI Alliance Climate & Sustainability Group.

thealliance.ai
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Co-hosted Roundtable on Open Source AI bringing together 30+ participants from 17 AI Alliance members plus government experts to explore policy frameworks for open-source AI in Europe.

Recent move9 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight8 records

Each record includes

Type, Description

Market position
Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers16 records

Each record includes

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

Segment6 records

Each record includes

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

Ideal customer profile5 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
Yes

Docs URL, Description

Integration9 records

Each record includes

Title, Type, Description, Source

AI capability20 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature10 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

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 →

AI Alliance

Open Source AI Developmentthealliance.ai

AI Alliance firmographics

Firmographics
Name
AI Alliance
Legal name
AI Alliance Community, Inc.
Website
https://thealliance.ai
Company type
Private
Founded year
2025
Operating status
Operating
Headcount range
1–10 employees
Ownership category
akta.pro rank

AI Alliance industry classification

Industry
Product category
Open Source AI Development
NAICS
Business Associations (813910), Software Publishers (5132), Professional Organizations (81392)
SIC
Services-Membership Organizations (8600), Services-Prepackaged Software (7372)
akta.pro primary industry
AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA)
akta.pro secondary industries
Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

  • Open source AI
  • AI research consortium
  • Machine learning models
  • AI safety evaluation
  • Federated AI training

Where AI Alliance is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Offices1 record

Markets served

AI Alliance business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

  1. Membership Contributions: As a non-profit 501(c)(3) organization, the AI Alliance is funded through membership contributions from over 180 technology companies, universities, research institutions, and nonprofits. Membership is by invitation.
  2. Grants and Donations: The Alliance may receive grants and donations to support open-source AI research and development initiatives, including programs like Project Tapestry.

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

AI Alliance product offering

Product offering

Core offering

The AI Alliance is a non-profit consortium that advances open-source AI through member-driven working groups, producing open foundation models, agent frameworks, evaluation benchmarks, and trusted data initiatives. Its offerings are released as free open-source software on GitHub and disseminated via community programs (Office Hours, meetups), supporting collaborative AI research across agents, models, data, safety, and governance.

Product overview

The AI Alliance is a global non-profit consortium (501(c)(3) organization) co-founded by IBM and Meta, with over 200 member organizations, dedicated to advancing open, safe, and responsible AI through open innovation. The organization's product portfolio centers on the Open Agent Hub ecosystem—which includes AgentLabUI (AI workbench for building agents), Gofannon (agent tools), Agent UI (user-facing delivery layer), and MCP-Agent with Deep Orchestrator (open-source agent frameworks)—and Project Tapestry (federated AI model training platform). The portfolio also features domain-specific foundation models including Llamarine (maritime), SemiKong (semiconductor), GEO-Bench-2 (geospatial evaluation), and Dana/OpenDXA (industrial AI). Additional offerings include evaluation tools (EvalAssist, Evaluation Reference Stack), data initiatives (OTDI, SYNTH), validated deployment patterns, and community programs (Office Hours, meetups). The architecture is a platform-plus-modules design where Open Agent Hub serves as the central collaboration community, with specialized products addressing domain-specific AI, evaluation, data trust, and enterprise deployment.

Differentiator

Problem solved

Functional benefit

Brands

  • Project Tapestry: An open-source platform for globally federated development of frontier AI models, preserving sovereignty and enabling distributed training.
  • GEO-Bench
  • Llamarine
  • SemiKong
  • Dana Agent Framework
  • Open Agent Hub
  • Semiont
  • Open Trusted Data Initiative (OTDI)
  • SYNTH
  • Validated Patterns

Products and services

  • Project Tapestry An open-source platform for globally federated development of frontier AI models, enabling distributed training where institutions, industries, and nations co-train shared open foundation models while retaining data sovereignty and control over their own derivatives.
  • Open Agent Hub A collaborative community hub of open-source AI projects and domain-specific workgroups focused on making AI agents successful in real-world enterprise applications through experimentation and reference architectures.
  • AgentLabUI An AI practitioner's workbench functioning as an AI switchboard with models, tools, and MCP server connections, enabling teams to swap LLMs across providers, build modular tools, and deploy agents to LangChain, Bedrock, and other frameworks with SSO and secure tenancy.
  • Gofannon A set of agent tools for building AI agent front-end user interfaces, enabling organizations to provide non-technical staff with clean, intuitive access to AI agents created in AgentLabUI.
  • MCP-Agent An open-source framework for building AI agents using the Model Context Protocol (MCP), enabling connection of LLMs to MCP servers for tool calls, context gathering, and decision-making in complex workflows including deep research.
  • Deep Orchestrator An agent architecture within MCP-Agent designed for deep research workflows, using planner LLMs, dynamic subagents, FIFO TODO queues, external memory/knowledge banks, and deterministic plan verification for complex task completion.
  • Llamarine A maritime large language model built on Llama 3.1 70B for the maritime industry, providing deterministic, regulation-compliant guidance for collision avoidance, COLREGs interpretation, and operational decision-making.
  • SemiKong A fully open foundation model for the semiconductor industry, developed by Aitomatic and Tokyo Electron as a template for domain-specific open models that compete with proprietary alternatives.
  • GEO-Bench-2 An enhanced evaluation ecosystem for Geospatial Foundation Models aggregating 19 datasets into 9 capability subsets with flexible evaluation protocols, extensive baseline experiments, and a public leaderboard for benchmarking GeoFMs.
  • CUGA (Configurable Generalist Agent Harness) An open-source, configurable generalist agent harness for enterprise work, ranked top-tier on AppWorld and WebArena benchmarks, with configurable reasoning modes, OpenAPI/MCP/LangChain tool integration, multi-agent orchestration, enterprise policy system, and Python SDK.
  • EvalAssist An open-source tool from IBM Research for building trustworthy evaluation pipelines using LLM-as-a-Judge, supporting direct assessment, pairwise comparison, bias checks, and chain-of-thought explanations built on Unitxt.
  • Dana Agent Framework An open framework for building reliable, domain-aware agents that connect language models to real-world tools and workflows, part of the Open Agent Hub ecosystem.
  • Dana An AI-powered programming language that generates code from natural language descriptions, and an open-source agentic OS that unifies natural language, symbolic reasoning, and structured execution in a language purpose-built for agents.
  • OpenDXA An open-source agent framework for industrial applications, enabling domain-specific agentic AI systems for manufacturing, logistics, and other industrial use cases.
  • GEO-Bench An open benchmark suite for evaluating geospatial foundation models (GeoFMs), supporting open research at the intersection of AI and Earth observation with datasets for land cover, building detection, and change detection.
  • Open Trusted Data Initiative (OTDI) A catalog of open datasets scored by trust, built on a metadata specification for data provenance, lineage, and utility, ensuring AI systems are only as trustworthy as the data they are built on.
  • SYNTH Open standards and tooling for synthetic data generation, helping the community build datasets that respect provenance and licensing requirements.
  • Validated Patterns Reference architectures and proven implementation patterns for deploying open AI in enterprise environments, bridging the gap between experimentation and production deployment.

Quantifiable outcome

  • Present in 29 countries with regional chapters in Thailand, Japan, India, Indonesia
  • +2 more outcomes

Companies that use AI Alliance

Customer profile

Named customers16 records

Segments6 records

Ideal customer profiles5 records

AI Alliance technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability20 records

Feature10 records

AI Alliance partnerships and signals

Strategic signal

Partnerships

20 partnerships are on record, tiered flagship, core and minor.

  • BharatGenflagshipStrategic or Co-development Partner · 19 June 2026BharatGen will anchor India's participation in Project Tapestry, immediately co-leading workstreams focused on distributed model training. Represents India's role in the global sovereign AI consortium.
  • Yann LeCunflagshipStrategic or Co-development Partner · 16 April 2026Turing Award winner and NYU Professor joins as Chief Science Advisor to AI Alliance and Project Tapestry. Guides scientific direction focusing on Project Tapestry as it advances from architecture to technical implementation.
  • Universitas Ciputra (Indonesia)coreStrategic or Co-development Partner · 16 April 2026First new Indonesian Chapter member as AI Alliance expands to Indonesia. Will collaborate on skills development using IBM SkillsBuild for Academia to support Indonesia's AI vision.
  • National AI Research Resource (NAIRR)coreStrategic or Co-development Partner · 17 September 2025AI Alliance participates in NAIRR Pilot Deep Partnership program bringing together Mass Open Cloud, Red Hat, and IBM Research to provide computing resources, cloud platform, and AI tools to researchers and educators.
  • IBMflagshipStrategic or Co-development Partner · 20 June 2025IBM serves as founding co-chair alongside Meta with board representation. IBM provides leadership in AI Alliance's 501(c)(3) research lab and 501(c)(6) technology association. IBM Research contributes tools to NAIRR Pilot and leads projects like GEO-Bench-2, EvalAssist, and Dana agent framework.
  • MetaflagshipStrategic or Co-development Partner · 20 June 2025Meta serves as founding co-chair alongside IBM. Hosted inaugural Open Source AI Summit for Advancing Scientific Discovery. Contributed Llama models and FAIR research to the alliance ecosystem. Meta's open models power many alliance projects.
  • BrightQuerycoreStrategic or Co-development Partner · 20 June 2025Board member representing the AI Alliance's governance structure for the incorporated non-profit entities.
  • Common CrawlcoreStrategic or Co-development Partner · 20 June 2025Board member providing web crawl data infrastructure for open AI training datasets.
  • MLCommonscoreStrategic or Co-development Partner · 20 June 2025Board member contributing to benchmarks and evaluation standards for AI model performance.
  • ETH ZurichcoreStrategic or Co-development Partner · 20 June 2025Board member and co-host of Roundtable on Open Source AI with AI Ethics and Policy Network. Leading voice in European open-source AI governance.
  • AitomaticcoreStrategic or Co-development Partner · 20 June 2025Board member and technical lead for SemiKong (semiconductor model) and Llamarine (maritime model). Created Dana agent framework. Dr. Christopher Nguyen serves as Board Member and Project Tapestry Chief Architect.
  • ServiceNowcoreStrategic or Co-development Partner · 20 June 2025Board member and co-lead of GEO-Bench-2 geospatial AI benchmark initiative alongside IBM.
  • Mass Open CloudcoreStrategic or Co-development PartnerProvides computing resources (GPUs, CPUs, storage) for NAIRR Pilot Deep Partnership, enabling researchers access to enterprise-grade infrastructure.
  • Red HatcoreStrategic or Co-development PartnerProvides enterprise cloud platform with tools across the full AI lifecycle for NAIRR Pilot Deep Partnership program.
  • IBM ResearchcoreStrategic or Co-development PartnerOpens entire toolkit for NAIRR Pilot including Granite models for language/code/vision, InstructLab for model adaptation, and Docling for document conversion.
  • FurunocoreStrategic or Co-development PartnerCo-developed Llamarine maritime LLM with Aitomatic. Provided deep maritime domain expertise including navigation regulations (COLREGs), vessel operations, and practical seamanship knowledge to ensure model reflects real-world operations.
  • Tokyo ElectroncoreStrategic or Co-development PartnerCo-developed SemiKong, the first semiconductor-specific large language model, with Aitomatic at SemiCon West 2024.
  • Wikimedia Foundation / Wikimedia EnterpriseminorStrategic or Co-development PartnerIntroduced Wikimedia datasets to the Open Trusted Data Initiative for open, trusted data catalog.
  • GEO-Bench-2 ConsortiumcoreStrategic or Co-development PartnerGEO-Bench-2 led by IBM and ServiceNow in collaboration with MBZUAI, NASA, ESA Φ-lab, Technical University Munich, Arizona State University, Clark University under AI Alliance Climate & Sustainability Group.
  • ETH Zurich AI Ethics and Policy NetworkcoreStrategic or Co-development PartnerCo-hosted Roundtable on Open Source AI bringing together 30+ participants from 17 AI Alliance members plus government experts to explore policy frameworks for open-source AI in Europe.

Scale indicators12 records

Recent moves9 records

Expansion highlights8 records

AI Alliance competitors and assessment

Company assessment

Market position

Competitive moat6 records

Key risks6 records

Key highlights6 records

Customer concentration

AI Alliance social profiles

Digital presence

AI Alliance financial estimates

Financial estimate

Revenue estimate

Valuation estimate

AI Alliance leadership team

Management profile

Number of profiles

Profiles2 records

AI Alliance funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

AI Alliance 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 AI Alliance

What does AI Alliance do?

The AI Alliance is a non-profit consortium that advances open-source AI through member-driven working groups, producing open foundation models, agent frameworks, evaluation benchmarks, and trusted data initiatives. Its offerings are released as free open-source software on GitHub and disseminated via community programs (Office Hours, meetups), supporting collaborative AI research across agents, models, data, safety, and governance.

Is AI Alliance a public or private company?

AI Alliance is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was AI Alliance founded?

AI Alliance was founded in 2025. It employs 1 to 10 people.

Where is AI Alliance based?

AI Alliance is headquartered in New York, United States, in the North America region.

How does AI Alliance make money?

Two revenue lines are on record. Membership Contributions are the primary driver. The others are grants and Donations.

Does AI Alliance have an API?

Yes. The AI Alliance ecosystem includes tools and platforms that offer APIs and SDKs for developers. AgentLabUI provides a workbench with SDK capabilities allowing teams to build and deploy AI agents, with support for multiple frameworks and model providers. MCP-Agent offers an open-source framework with MCP server integration for connecting LLMs to various tools. The Deep Orchestrator agent architecture integrates with MCP servers for deep research workflows. CUGA provides a Python SDK across multiple LLM providers for enterprise agent deployment. Developer documentation is at github.com/The-AI-Alliance.

What industry is AI Alliance in?

AI Alliance's product category is Open Source AI Development. Its primary akta.pro industry code is HDAAAMAA, AI Governance, Risk & Compliance (GRC) Platforms, with a secondary code of HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII). Its NAICS code is 813910 and its SIC code is 8600.

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Unite.AIProject Tapestry Marks First Milestone, Expands Vietnam and India AI TiesThe AI Alliance announced on September 30, 2026, that Project Tapestry completed its first technical milestone and expanded sovereign AI collaborations with Vietnam and India. The milestone involved two proofs of concept training models across four sites, with Vietnam and India participating. A Mumbai workshop is planned for October 15, 2026, to plan India's next phase.MorningstarAI Alliance Advances Project Tapestry as G7 Puts AI Sovereignty at Center StageIndia's BharatGen will anchor India's role in Project Tapestry, a global open consortium for frontier AI development. The consortium, launched a month ago, lets participants retain control over data and models. It seeks early contributors to shape architecture and governance.HpcwireSince 1987 – Covering the Fastest Computers in the World and the People Who Run ThemThe AI Alliance, a nonprofit coalition, announced the launch of 'Project Tapestry,' an open-source platform to enable federated training of AI models without centralizing data. Yann LeCun was appointed as Chief Science Advisor to guide the project, which aims to foster global collaboration and sovereign AI development.PR NewswireThe AI Alliance Forms Non-profit AI Lab and AI Technology & Advocacy Association to Scale Open-Source InnovationThe AI Alliance, a global collaboration of over 180 organizations committed to open AI innovation, announced it has incorporated into two non-profit entities: a 501(c)(3) research and education lab and a 501(c)(6) technology and advocacy association, both headquartered in New York City. The new legal structures are designed to scale the alliance's projects, fundraising, and open-source AI development across focus areas including AI agents, safety and governance, open data sets and models, and evaluation benchmarks. IBM and Meta are serving as founding co-chairs alongside board members from BrightQuery, Common Crawl, MLCommons, ETH Zurich, Aitomatic, and ServiceNow.GlobeNewswireApplied Digital Joins AI Alliance to Collaborate with Industry Leaders to Advance Open, Safe, and Responsible AIApplied Digital joined the AI Alliance, a collaborative group of industry leaders, academia, and government focused on responsible AI. CEO Wes Cummins said the alliance's open innovation mission aligns with Applied Digital's infrastructure work. The alliance was co-founded by IBM and Meta and announced in December 2023.PR NewswireSberbank/AI Alliance: Internationaler KI-Nachwuchswettbewerb nimmt Anmeldungen anSberbank and the AI Alliance companies launched the international AI competition AI 2021, accepting submissions from students worldwide with the goal of popularizing artificial intelligence among youth and identifying talented individuals. The online phase of the competition begins on January 31, 2021, featuring individual challenges and team rounds, while the finals will take place in Moscow in September 2021. The competition spans 10 categories including earth observation data analysis, EdTech, security, finance, robotics, and medicine, with participants guided by industry experts.PR NewswireLe concours international d'IA junior de Sberbank/AI Alliance accepte les candidaturesSberbank and AI Alliance launched the 2021 International Junior AI Competition, accepting applications from schoolchildren worldwide across ten categories including Earth observation data analysis, EdTech, robotics, and medicine. The online phase begins January 31, 2021, with finalists advancing to an in-person final in Moscow scheduled for September 2021. CEO Herman Gref stated the initiative aims to position Russia as a leader in AI by engaging young talent early and supporting their development through mentorship from industry experts.PR NewswireSberbank/AI Alliance international junior AI contest accepting entriesSberbank and the AI Alliance have launched the 2021 AI International Junior Contest, accepting entries from schoolchildren worldwide to compete across 10 AI-related areas including Earth sensing data, EdTech, security, robotics, and medicine. The online stage begins January 31, 2021, with finalists meeting in Moscow in September 2021. Sberbank CEO Herman Gref stated the initiative aims to position Russia as an AI leader and help participants build careers in the field.