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Sakana AI

Category: Foundation Models / LLMs

A world-class R&D lab developing 'nature-inspired' foundation models that are efficient, domain-specific, and created through automated evolutionary algorithms rather than massive-scale training. Sakana AI was founded in 2023. The company is led by David Ha. Based in Tokyo, Japan. Team size: 101-500. Total funding raised: ~$412M (¥660B cumulative; Series B expanded to ¥32B/$200M). Latest round: Series B. Key investors include New Enterprise Associates (NEA), Khosla Ventures, Lux Capital, NVIDIA, Google, MUFG, Citi, Mitsubishi Electric, Salesforce Ventures, Datadog, In-Q-Tel, Macquarie Capital.

AMW Analysis

Sakana AI, a Tokyo-based R&D lab, develops foundation models using automated evolutionary algorithms that merge existing models rather than training from scratch, aiming for efficiency and domain-specificity. The company has raised approximately $379M, with a Series B in November 2025 at a $2.65B valuation, and counts NEA, Khosla Ventures, Lux Capital, NVIDIA, and Google among its investors. In January 2026, Google invested to bolster its position in the Japanese market, and in March 2026, Mitsubishi Electric invested to embed Sakana’s models into its digital platform, naming physical AI as a third strategic pillar after finance and defense.

In June 2026, Sakana launched Fugu, a multi-agent orchestration system accessible via a single model API, claiming frontier-level performance without requiring custom LLMs. The company then relaunched as Noetra in July 2026, backed by SoftBank and NEC, positioning itself as a Japan-origin AI foundation model developer. It topped Japan’s H1 2026 startup funding ranking, reflecting strong investor interest in AI. The trajectory shows a shift from research lab to a corporate-backed entity with a product-focused multi-agent system and expanding industrial partnerships.

AMW analysis, generated from 8 tracked news signals.

Founded
2023
Headquarters
Tokyo, Japan
Team size
101-500
Total funding
~$412M (¥660B cumulative; Series B expanded to ¥32B/$200M)

Value proposition

Delivers high-performance, culture-specific AI models with significantly lower compute and energy costs by 'breeding' existing models (Evolutionary Model Merge) instead of training from scratch.

Products and solutions

Namazu LLMs (Japan-optimized foundation models), The AI Scientist (automated scientific discovery), Darwin Gödel Machine (self-improving coding agent), Evolutionary Model Merge / AB-MCTS (multi-model orchestration), Sakana Chat, Sakana Marlin, Sakana Fugu (user-facing product suite), Continuous Thought Machine (CTM), EvoLLM-JP / Llama-3-Evo-8B-Japanese lineage

Unique value

Pioneered 'Evolutionary Model Merge,' a technique that uses genetic algorithms to automatically combine and optimize open-source models into superior, domain-specific models without heavy training.

Target customer

Japanese Enterprises (Finance, Manufacturing), Government Agencies (Sovereign AI), and Global Research Institutions.

Industries served

Generative AI Infrastructure, Scientific Research & R&D, Financial Services (FinTech), Government & Public Sector (Sovereign AI)

Technology advantage

Achieves State-of-the-Art (SOTA) performance with a fraction of the compute resources and data required by competitors (like OpenAI or Google), enabling rapid iteration and deployment on edge devices.

How they differentiate

Proprietary 'Evolutionary Model Merge' technique creating efficient, nature-inspired models; strong 'Sovereign AI' focus for Japan.

Main competitors

Preferred Networks, Mistral AI, SoftBank (SB Intuitions)

Key partnerships

Google (Strategic investment Jan 2026 + Gemini/enterprise collaboration), NVIDIA (Research collaboration and GPU infrastructure), MUFG (Multi-year bank-specific AI partnership), Daiwa Securities (Wealth-management / portfolio AI platform), Citi (Strategic investment Feb 2026; first Citi Japan AI investment), Mitsubishi Electric (Investment Mar 2026; Serendie platform / manufacturing AI), Datadog (Partnership/investment Feb 2026; AI observability), KDDI, SoftBank, SBI Group, Dai-ichi Life, METI / GENIAC project support

Notable customers

METI (Japanese Gov), KDDI, MUFG, SBI Group, Daiwa Securities, Mitsubishi Electric

Major milestones

Released 'The AI Scientist' (Aug 2024), Series A ~$200M at $1.5B valuation (Sep 2024), Series B first close ¥20B/$135M at $2.65B (Nov 2025); expanded to ¥32B/$200M ~$2.7B (Apr 2026), Google strategic investment (Jan 2026), Citi strategic investment (Feb 2026), Mitsubishi Electric investment (Mar 2026), AI Scientist paper accepted at premier ML conference (2025)

Growth metrics

Fastest Japanese startup to reach Unicorn status (~1 year); Series B post-money valuation ~$2.7B (Apr 2026 update); enterprise ARR reported ~$30M (2025).

Market positioning

Leader in efficient, domain-specific AI; Japan's national AI champion.

Geographic focus

Japan, Global (Research)

Patents and IP

Proprietary algorithms for 'Evolutionary Model Merge' and 'Automated Scientific Discovery' (The AI Scientist framework); specific patent filings are undisclosed but core IP lies in their automated model-breeding stack.

About David Ha

Former Research Scientist at Google Brain (Tokyo). Renowned for pioneering work in evolutionary computing and 'World Models'. Previously a Managing Director at Goldman Sachs (16+ years in finance).

Latest news about Sakana AI

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