AI Alliance
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
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
Where AI Alliance is headquartered
LocationHeadquarters
- 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
- 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.
- 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 offeringCore 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 profileNamed customers16 records
Segments6 records
Ideal customer profiles5 records
AI Alliance technology and API
TechnologyTechnology 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 signalPartnerships
20 partnerships are on record, tiered flagship, core and minor.
- BharatGenflagshipBharatGen 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 LeCunflagshipTuring 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)coreFirst 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)coreAI 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.
- IBMflagshipIBM 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.
- MetaflagshipMeta 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.
- BrightQuerycoreBoard member representing the AI Alliance's governance structure for the incorporated non-profit entities.
- Common CrawlcoreBoard member providing web crawl data infrastructure for open AI training datasets.
- MLCommonscoreBoard member contributing to benchmarks and evaluation standards for AI model performance.
- ETH ZurichcoreBoard member and co-host of Roundtable on Open Source AI with AI Ethics and Policy Network. Leading voice in European open-source AI governance.
- AitomaticcoreBoard 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.
- ServiceNowcoreBoard member and co-lead of GEO-Bench-2 geospatial AI benchmark initiative alongside IBM.
- Mass Open CloudcoreProvides computing resources (GPUs, CPUs, storage) for NAIRR Pilot Deep Partnership, enabling researchers access to enterprise-grade infrastructure.
- Red HatcoreProvides enterprise cloud platform with tools across the full AI lifecycle for NAIRR Pilot Deep Partnership program.
- IBM ResearchcoreOpens entire toolkit for NAIRR Pilot including Granite models for language/code/vision, InstructLab for model adaptation, and Docling for document conversion.
- FurunocoreCo-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 ElectroncoreCo-developed SemiKong, the first semiconductor-specific large language model, with Aitomatic at SemiCon West 2024.
- Wikimedia Foundation / Wikimedia EnterpriseminorIntroduced Wikimedia datasets to the Open Trusted Data Initiative for open, trusted data catalog.
- GEO-Bench-2 ConsortiumcoreGEO-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 NetworkcoreCo-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 assessmentMarket position
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
AI Alliance social profiles
Digital presenceAI Alliance financial estimates
Financial estimateRevenue estimate
Valuation estimate
AI Alliance leadership team
Management profileNumber of profiles
Profiles2 records
AI Alliance funding detail
Funding detailFunding 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 investmentM&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.