AI Organizations
A neutral index for organizations shaping the AI ecosystem: frontier labs, infrastructure firms, standards bodies, safety institutes, civil-society organizations, and application companies.
Scope
This page is an index, not a ranking. It groups organizations by their role in the AI ecosystem and points to individual profiles where the site has them. Organizations should be added conservatively, with dated sources and clear relevance to AI capability, governance, infrastructure, labor, safety, or public-interest technology.
Index Groups
- Frontier model labs: organizations developing large-scale general-purpose AI systems.
- Infrastructure companies: cloud, chip, data-center, model-serving, and tooling providers.
- Standards and public institutions: government agencies, standards bodies, research institutes, and civil-society organizations.
- Application companies: firms building AI into search, productivity, education, health, media, coding, robotics, and consumer companions.
Profiles
- AI Safety Institutes - public and public-linked institutions for frontier model evaluation, safety science, and security governance.
- Center for AI Safety - nonprofit focused on societal-scale AI risks.
- Frontier Model Forum - industry-supported nonprofit coordinating frontier AI safety and security work.
- METR - nonprofit developing evaluations for frontier AI autonomy and catastrophic-risk thresholds.
- Epoch AI - research institute tracking AI compute, model databases, hardware, capabilities, companies, and forecasts.
- MLCommons - open engineering consortium behind MLPerf, AILuminate, benchmark suites, and shared measurement infrastructure.
- Stanford HAI - Stanford's human-centered AI institute.
- Anthropic, OpenAI, Google DeepMind, Meta AI, xAI, Mistral AI, DeepSeek, and Cohere - major AI developers and model providers.
- NVIDIA, TSMC, Cerebras Systems, CoreWeave, and Scale AI - infrastructure, chips, cloud, and data-supply actors.
- Hugging Face, LangChain, Perplexity AI, and Anysphere (Cursor) - developer, search, and application-layer organizations.
Entry Standard
Organization entries should identify what the organization does, why it matters, what claims are dated, how it fits the AI stack, and which risks or governance questions surround it. For fast-changing companies, entries should avoid treating strategy, valuation, product availability, or leadership structure as timeless facts.
Related Pages
- Individual Players
- AI Governance
- AI Compute
- Compute Governance
- Frontier AI Safety Frameworks
- Moonshot AI and Kimi
- Partnership on AI
Sources
- NIST, AI Risk Management Framework, 2023.
- OECD.AI, AI Policy Observatory, ongoing public AI-policy resource.
- Frontier Model Forum, official site, reviewed May 20, 2026.
- MLCommons, official site, reviewed May 20, 2026.
- Stanford HAI, AI Index Report, annual AI ecosystem reporting.