[
  {
    "name": "Anthropic",
    "slug": "anthropic",
    "founded": 2021,
    "focus": "AI safety and research company that develops the Claude family of frontier models, with an emphasis on interpretability, alignment, and reliable agentic systems.",
    "flagship": "Claude",
    "links": {
      "site": "https://www.anthropic.com",
      "blog": "https://www.anthropic.com/news"
    }
  },
  {
    "name": "OpenAI",
    "slug": "openai",
    "founded": 2015,
    "focus": "Research company behind the GPT models and ChatGPT, building general-purpose AI systems along with open-weight releases such as the gpt-oss models.",
    "flagship": "GPT (ChatGPT)",
    "links": {
      "site": "https://openai.com",
      "blog": "https://openai.com/news"
    }
  },
  {
    "name": "Google DeepMind",
    "slug": "google-deepmind",
    "founded": 2010,
    "focus": "Google's AI research lab, formed in 2023 by merging DeepMind (founded 2010) and Google Brain. Develops the Gemini models and the open-weight Gemma family.",
    "flagship": "Gemini",
    "links": {
      "site": "https://deepmind.google",
      "blog": "https://blog.google"
    }
  },
  {
    "name": "Meta AI",
    "slug": "meta-ai",
    "founded": 2013,
    "focus": "Meta's AI division, tracing to FAIR (founded 2013) and now organized under Meta Superintelligence Labs. Develops the open-weight Llama family.",
    "flagship": "Llama",
    "links": {
      "site": "https://ai.meta.com",
      "blog": "https://ai.meta.com/blog/"
    }
  },
  {
    "name": "xAI",
    "slug": "xai",
    "founded": 2023,
    "focus": "Elon Musk's AI company, developer of the Grok models, integrated with the X platform and trained on its Colossus supercomputing clusters.",
    "flagship": "Grok",
    "links": {
      "site": "https://x.ai",
      "blog": "https://x.ai/news"
    }
  },
  {
    "name": "Mistral AI",
    "slug": "mistral-ai",
    "founded": 2023,
    "focus": "Paris-based lab known for efficient open-weight models, including the Mistral and Ministral families and the Le Chat assistant.",
    "flagship": "Mistral",
    "links": {
      "site": "https://mistral.ai",
      "blog": "https://mistral.ai/news"
    }
  },
  {
    "name": "DeepSeek",
    "slug": "deepseek",
    "founded": 2023,
    "focus": "Hangzhou-based lab backed by the High-Flyer hedge fund, known for MIT-licensed open-weight mixture-of-experts models such as the DeepSeek V4 family.",
    "flagship": "DeepSeek-V4",
    "links": {
      "site": "https://www.deepseek.com"
    }
  },
  {
    "name": "Alibaba (Qwen)",
    "slug": "alibaba-qwen",
    "founded": 2023,
    "focus": "Alibaba's large-model team behind the Qwen (Tongyi Qianwen) family, first released in 2023, spanning frontier Max-class models and open-weight releases.",
    "flagship": "Qwen",
    "links": {
      "site": "https://qwen.ai",
      "blog": "https://qwen.ai/blog"
    }
  },
  {
    "name": "Moonshot AI",
    "slug": "moonshot-ai",
    "founded": 2023,
    "focus": "Beijing-based startup that builds the Kimi chatbot and the Kimi series of large models, including large open-weight mixture-of-experts releases.",
    "flagship": "Kimi",
    "links": {
      "site": "https://www.moonshot.ai"
    }
  },
  {
    "name": "MiniMax",
    "slug": "minimax",
    "founded": 2021,
    "focus": "Shanghai-based AI company, publicly listed in Hong Kong in 2026, developing the MiniMax model series for agentic, coding, and multimodal tasks.",
    "flagship": "MiniMax",
    "links": {
      "site": "https://huggingface.co/MiniMaxAI"
    }
  },
  {
    "name": "Cohere",
    "slug": "cohere",
    "founded": 2019,
    "focus": "Toronto-based enterprise AI company building the Command model family and retrieval tooling aimed at regulated industries and the public sector.",
    "flagship": "Command",
    "links": {
      "site": "https://cohere.com",
      "blog": "https://cohere.com/blog"
    }
  },
  {
    "name": "Allen Institute for AI (Ai2)",
    "slug": "ai2",
    "founded": 2014,
    "focus": "Seattle-based nonprofit founded by Paul Allen, known for fully open models such as the OLMo family, publishing weights, data, and training code.",
    "flagship": "OLMo",
    "links": {
      "site": "https://allenai.org",
      "blog": "https://allenai.org/blog"
    }
  }
]