Sakana AI

Sakana AI Co, Ltd.
Native name
Sakana AI株式会社
TypePrivate
IndustryInformation technology
FoundedJuly 2023; 3 years ago (July 2023)
Founders
  • David Ha
  • Llion Jones
  • Ren Ito
Headquarters,
Japan
Number of employees
20 (2024)
Websitesakana.ai

Sakana AI Co, Ltd. is a Japanese artificial intelligence company based in Tokyo.

Overview

Sakana AI's main research fields are evolution and collective intelligence of AI. The company's name is derived from the Japanese word for fish. This represents the idea of a school of fish coming together and forming a coherent entity from simple rules, which is an analogy for collective intelligence.[importance?]

The company was founded in 2023 by David Ha, Llion Jones and Ren Ito. Llion Jones co-authored the paper "Attention Is All You Need" when he was working for Google in 2017. In September 2026, Jürgen Schmidhuber joined as chief scientific officer.

The company raised US$30M in its seed funding round from Lux Capital and Khosla Ventures. The company raised approximately $200M from companies such as Mitsubishi UFJ, SMBC, Mizuho, Itochu, KDDI, Nomura and Nvidia in its series A funding round in 2024. The Nikkei estimated the company's value at 19 billion yen in 2024. In January 2026, Google also invested in Sakana AI, following a ¥20 billion ($135 million) Series B funding round valuing the startup at about $2.65 billion in November 2025. They raised 31 billion yen in the first half of 2026, with investors including Google, Salesforce Ventures and major Japanese financial institutions.

In January 2024, Sakana AI developed a method to build new AI models by 'breeding' multiple existing models, which it sees as a means to democratise AI development, as this process does not require large computational resources. Sakana AI is also developing a model called the AI Scientist, which automates the entire process of scientific research. They published a paper on the topic in Nature in March 2026.

See also

References

  1. ↑ Lee, Min Jeong; Ahn, Shery (2024-09-17). "AI Startup Sakana Hits $1.5 Billion Value as Japan Inc. Piles In". Bloomberg News.
  2. ↑ AI, Sakana (2024-01-16). "Sakana AI". sakana.ai. Retrieved 2024-12-29.
  3. ↑ Bezmalinović, Tomislav (2026-06-06). "Sakana AI bets AI that improves itself can break the compute arms race of frontier labs". The Decoder. Retrieved 2026-10-26.
  4. 1 2 "AI開発、「シリコンバレーに限らず」 サカナAIに投資のVC - 日本経済新聞" [AI Innovation Isn't Just Coming from Silicon Valley, Says VC Partner]. 日本経済新聞 電子版 (The Nikkei) (in Japanese). 21 February 2024. Retrieved 2025-05-20.
  5. ↑ Usui, Yui. "AI pioneer Schmidhuber to join Japan's Sakana AI as science adviser". Nikkei Asia. Retrieved 2026-10-26.
  6. ↑ 浦中美穂 (2024-09-17). サカナAIに3メガバンクなど出資 一連の資金調達約300億円. Reuters (in Japanese). Retrieved 2025-05-20.
  7. ↑ リージョナルフィッシュ、企業価値400億円超に 関西未上場スタートアップで首位. The Nikkei (in Japanese). 2024-12-26. Retrieved 2024-12-29.
  8. ↑ Lee, Min-Jeong (2026-01-23). "Google Invests in Sakana AI to Boost Gemini's Presence in Japan". Bloomberg News.
  9. ↑ Park, Kate (2025-11-17). "Sakana AI raises $135M Series B at a $2.65B valuation to continue building AI models for Japan". TechCrunch. Retrieved 2026-10-26.
  10. ↑ Takahashi, Yuya; Shibata, Yuiya. "Sakana AI, Turing among Japan startup winners as investors turn choosy". Nikkei Asia. Retrieved 2026-10-26.
  11. ↑ AI、複数技術の「掛け合わせ」で進化 Sakana AIが新手法. The Nikkei (in Japanese). 2024-03-21. Retrieved 2024-12-29.
  12. ↑ Dignan, Larry (2024-08-14). "Sakana AI aims to automate scientific research with genAI". Constellation Research Inc. Retrieved 2024-12-29.
  13. ↑ Lu, Chris; Lu, Cong; Lange, Robert Tjarko; Yamada, Yutaro; Hu, Shengran; Foerster, Jakob; Ha, David; Clune, Jeff (March 2026). "Towards end-to-end automation of AI research". Nature. 651 (8107). Nature Publishing Group: 914–919. arXiv:2606.15497. Bibcode:2026Natur.651..914L. doi:10.1038/s41586-026-10265-5. ISSN 1476-4687. PMC 13017497. PMID 41882133.
  14. ↑ Hutson, Matthew (2026-08-13). "AI isn't ready to research itself". Nature. Nature Publishing Group. doi:10.1038/d41586-026-02494-5. ISSN 1476-4687. PMID 42595888.