Sakana AI raised 200 million US dollars in Series B funding to develop efficient AI technology tailored to Japan's needs rather than competing in large-scale model training. The company achieved a post-money valuation of 2.7 billion US dollars and plans to focus on post-training optimization and domain-specific applications in finance, defense, and manufacturing sectors. This funding enables Sakana AI to scale sustainable AI research and business deployment across Japanese enterprises and government sectors.
Sakana AI launched an Applied Team in 2025 to implement generative AI technology, with software engineers working on financial and defense sector solutions using AI agents. The company is currently hiring project managers and applied research engineers, focusing on automating enterprise processes like banking core operations through AI agents while managing data security and uptime requirements. Engineers at Sakana AI anticipate their role evolving toward AI agent management and system optimization rather than manual coding, with the company positioned to apply self-evolving AI techniques to real-world business problems that competitors have not yet solved.
Sakana AI's ALE-Agent won AtCoder Heuristic Contest 058 on December 14, 2025, defeating 804 human participants in a 4-hour optimization programming competition. The AI agent used parallel LLM calls with iterative refinement and discovered solution approaches beyond what the problem creators anticipated, demonstrating that AI systems with scaled inference can match top human experts on multi-hour tasks. This result indicates AI agents can now compete at expert level in complex optimization problems, though Sakana AI notes this was the agent's first outright victory and emphasizes positioning AI as a partner extending human problem-solving rather than replacing humans.
Sakana AI introduced DroPE, a method that extends the context length of pretrained large language models by removing positional embeddings after training, eliminating the need for expensive fine-tuning. The approach requires less than 1% of the original pretraining compute budget while outperforming established methods on benchmarks like LongBench and RULER. This allows models to handle longer sequences in real-world applications such as reviewing code diffs or analyzing legal documents without additional computational overhead.
Sakana AI published an unofficial guide to its research candidate interview process, written by Stefania Druga, Luke Darlow, and Llion Jones based on patterns observed from dozens of interviews. The guide emphasizes that understanding design choices and limitations matters more than implementation ability, with candidates evaluated on their ability to question assumptions and communicate precisely. The company positions critical evaluation and clear explanation of reasoning as fundamental to advancing AI research.
Sakana AI announced a strategic partnership with Google that includes financial investment following the company's Series B funding round. The partnership aims to combine Google's infrastructure and products with Sakana AI's research capabilities to advance AI adoption in Japan, with focus on product quality improvement and reliable AI implementation in critical industries. The collaboration is expected to accelerate Japan's AI ecosystem development and expand trustworthy AI solutions across major industrial sectors.
Sakana AI relocated its headquarters to Azabudai Hills Mori JP Tower in Tokyo to support business expansion and organizational growth. The move enables the company to expand its team and better integrate its research and business implementation functions. The relocation aims to strengthen Sakana AI's ability to develop and deploy AI solutions focused on Japan's needs.
Salesforce Ventures invested in Sakana AI, a company focused on AI capabilities for Japanese enterprises in finance and defense sectors. The investment amount was not disclosed, but Salesforce stated it values Sakana AI's research capabilities and enterprise understanding. Salesforce will explore integrating Sakana AI's technology into its global platform offerings.
Sakana AI, a Japanese AI company, received a strategic investment from Citigroup following its Series B funding round. The company has announced partnerships with Mitsubishi UFJ Financial Group and Daiwa Securities in 2025 to develop custom AI models for specialized financial domains, and secured participation from Spain's Santander Group via Mouro Capital during its Series B round. This investment enables Sakana AI to accelerate international expansion and deliver AI innovations in global financial services from Japan.
Sakana AI announced a strategic partnership with Datadog to collaborate on research initiatives, open-source contributions, and go-to-market efforts focused on efficient AI models for enterprise applications. The partnership will include joint work on building, deploying, and operating advanced AI systems at scale for large enterprises. The collaboration aims to accelerate Sakana AI's engagement with enterprise customers through Datadog's observability platform.
Sakana AI introduced Doc-to-LoRA and Text-to-LoRA, methods that use hypernetworks to generate LoRA adapters enabling rapid customization of language models. The techniques achieve sub-second latency for model adaptation and allow Doc-to-LoRA to maintain near-perfect accuracy on documents five times longer than the base model's context window. This approach reduces the technical barriers for end-users to specialize foundation models through simple text inputs without expensive fine-tuning pipelines.
Sakana AI and Mitsubishi UFJ Bank completed a six-month proof-of-concept for an AI agent system that supports loan decision-making and documentation across multiple stages of the lending process. The system was tested with approximately 100 bank employees across multiple locations, with approximately 30 core team members driving development, and demonstrated the ability to streamline complex lending workflows while supporting both junior and experienced staff. Mitsubishi UFJ Bank plans to deploy the system across its nationwide branches in phases, with plans to expand AI support to additional banking operations beyond lending.
Sakana AI signed a multi-year research contract with Japan's Defense Equipment Agency to develop systems that integrate data from land, sea, and air domains including drones to enhance command and control capabilities. The project will combine multiple AI technologies to analyze sensor data and improve decision-making speed across defense and intelligence operations. Sakana AI is positioning defense and intelligence as a core business focus alongside finance, establishing a domestic specialist team to operationalize its AI research in the defense sector.
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