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Research / Labs

Frontier AGI labs

The fifteen industrial and non-profit laboratories whose model releases set the global state of the art.

A frontier lab is one that trains and publicly releases models at — or close to — the global capability frontier. The list below covers the labs that, as of 2026, have either trained a frontier model in the last 24 months or run compute clusters comparable in scale to those that have. Each entry links to the lab's research home page.

  1. 01

    OpenAI

    2015 · San Francisco, USA

    Creator of the GPT family and o-series reasoning models. Operates a hybrid capped-profit structure with a stated mission to ensure broadly beneficial AGI.

    Frontier LLMsReasoningAgents
  2. 02

    Google DeepMind

    2010 · London, UK

    Unified Google's AI research after the 2023 merger with Google Brain. Builds the Gemini family and breakthrough scientific systems such as AlphaFold and AlphaProof.

    RLScienceMultimodal
  3. 03

    Anthropic

    2021 · San Francisco, USA

    Safety-focused lab founded by former OpenAI researchers. Develops the Claude model family and publishes widely on Constitutional AI, alignment, and mechanistic interpretability.

    SafetyInterpretabilityClaude
  4. 04

    Meta FAIR

    2013 · Menlo Park, USA

    Meta's Fundamental AI Research team. Releases the Llama family of open-weight models and pursues long-horizon research on world models, robotics, and self-supervised learning.

    Open weightsMultimodalEmbodied AI
  5. 05

    xAI

    2023 · Palo Alto, USA

    Elon Musk-founded lab building the Grok model family. Trains on the Memphis 'Colossus' GPU cluster, one of the largest single-site training installations in the world.

    LLMsReasoningReal-time data
  6. 06

    Mistral AI

    2023 · Paris, France

    European frontier lab specialising in efficient open-weight and commercial models. A focal point for sovereign AI capability in the EU.

    Open weightsEfficient models
  7. 07

    Cohere

    2019 · Toronto, Canada

    Enterprise-focused lab building retrieval-augmented LLMs and the Command family. Co-founded by Aidan Gomez, one of the authors of the original Transformer paper.

    Enterprise LLMsRAG
  8. 08

    Microsoft Research AI

    1991 · Redmond, USA

    One of the oldest industrial research labs. Drives Microsoft's Phi family of small models and collaborates closely with OpenAI on frontier deployment.

    FoundationsAI for science
  9. 09

    Apple Machine Learning Research

    2017 · Cupertino, USA

    Publishes Apple's on-device and Apple Intelligence research, with a strong emphasis on efficient, privacy-preserving models that run on consumer hardware.

    On-device MLPrivacy
  10. 10

    Allen Institute for AI (AI2)

    2014 · Seattle, USA

    Non-profit research institute founded by Paul Allen. Maintains the fully open OLMo model family and the Semantic Scholar academic search engine.

    Open scienceReasoning
  11. 11

    Mila

    1993 · Montréal, Canada

    Quebec AI Institute, founded by Yoshua Bengio. One of the world's largest academic deep-learning groups.

    Deep learningAI for good
  12. 12

    Vector Institute

    2017 · Toronto, Canada

    Independent research institute anchoring Toronto's AI ecosystem, with strong ties to Geoffrey Hinton and the University of Toronto.

    Applied MLHealth AI
  13. 13

    Tsinghua KEG / IIIS

    1996 · Beijing, China

    Tsinghua University's flagship AI groups. Released the GLM and ChatGLM model families and trains many of China's leading AI researchers.

    LLMsKnowledge graphs
  14. 14

    BAAI

    2018 · Beijing, China

    Beijing Academy of Artificial Intelligence. State-affiliated lab coordinating much of China's foundation-model and AI-governance research.

    Foundation modelsAI policy
  15. 15

    RIKEN AIP

    2016 · Tokyo, Japan

    RIKEN's Center for Advanced Intelligence Project. Japan's central public AI research lab, with a strong theoretical and scientific bent.

    ML theoryAI for science

How to use this list: skim once to get a map of who trains what; bookmark the research pages of the labs whose work most affects your industry; revisit quarterly when major model releases land.