SoftBank Leads $400M Round in Tokyo AI Robotics

SoftBank Vision Fund has led a $400 million Series C funding round in Kotoha Robotics, a Tokyo-based startup developing AI-powered industrial robots. The investment marks one of the largest venture deals in the Japanese AI ecosystem this year and signals renewed confidence in the convergence of artificial intelligence and physical automation.

The round also attracted participation from Samsung Venture Investment, Sequoia Capital, and Toyota Ventures, bringing Kotoha Robotics' total funding to approximately $620 million since its founding in 2020. The company's valuation now sits at an estimated $2.8 billion, catapulting it into unicorn territory.

Key Facts at a Glance

• Deal size: $400 million Series C led by SoftBank Vision Fund
• Valuation: Estimated $2.8 billion post-money
• Total raised: $620 million across all funding rounds
• Key investors: SoftBank Vision Fund, Samsung Venture Investment, Sequoia Capital, Toyota Ventures
• Use of funds: Global expansion, R&D scaling, and new manufacturing facility in Osaka
• Focus area: AI-powered robots for warehouse logistics, manufacturing, and last-mile delivery

Kotoha Robotics Builds AI Robots That Learn on the Job

Kotoha Robotics distinguishes itself from competitors like Boston Dynamics and Figure AI through its proprietary 'adaptive learning' framework. Rather than relying solely on pre-programmed routines, Kotoha's robots use a combination of reinforcement learning and large multimodal models to adapt to new environments within hours rather than weeks.

The startup's flagship product, the KR-7 industrial manipulator, can perform complex assembly tasks after observing human workers for as few as 3 demonstrations. This dramatically reduces deployment timelines compared to traditional industrial robots, which typically require weeks of custom programming and calibration.

Kotoha currently operates a fleet of over 1,200 robots across 45 warehouses and manufacturing plants in Japan, South Korea, and Singapore. The company reported $78 million in annual recurring revenue for 2024, representing a 240% year-over-year increase.

SoftBank Doubles Down on Physical AI

This investment represents SoftBank Vision Fund's most significant robotics bet since its $2.8 billion acquisition of Boston Dynamics in 2017, which it later sold to Hyundai in 2021. The move signals that Masayoshi Son's investment arm is re-entering the robotics space with renewed conviction, this time anchored in the latest generative AI capabilities.

'Physical AI is the next frontier,' said a SoftBank Vision Fund spokesperson in a prepared statement. 'The ability to combine foundation models with real-world robotic systems creates unprecedented opportunities in manufacturing, logistics, and beyond.'

SoftBank's broader AI strategy has been aggressive in 2025. The conglomerate announced a $100 billion joint venture called Stargate alongside OpenAI and Oracle earlier this year, focused on building AI data center infrastructure across the United States. This latest robotics investment complements that data-center push by extending AI capabilities into the physical world.

Why This Deal Matters for the Global AI Robotics Market

The global AI robotics market is projected to reach $74.1 billion by 2029, according to MarketsandMarkets, growing at a compound annual rate of 38.6%. Several converging trends are driving this explosive growth:

• Labor shortages in manufacturing and logistics across developed economies
• Declining costs of sensors, actuators, and compute hardware
• Breakthroughs in multimodal AI enabling robots to understand natural language commands
• Rising demand for 24/7 automated fulfillment from e-commerce giants
• Government incentives in Japan, South Korea, and the EU promoting automation adoption

Kotoha Robotics enters a competitive landscape that includes well-funded Western startups. Figure AI raised $675 million at a $2.6 billion valuation in early 2024, while Covariant (now acquired by Amazon) and Agility Robotics have also attracted substantial capital. However, Kotoha's deep integration with Asian manufacturing supply chains gives it a geographic advantage that Western rivals have struggled to replicate.

Unlike Figure AI, which focuses primarily on humanoid form factors, Kotoha takes a modular approach. Its robots are designed as interchangeable units that can be reconfigured for different tasks — from palletizing in a warehouse to precision welding on an automotive assembly line.

How Kotoha Plans to Spend the $400 Million

The company has outlined an ambitious deployment roadmap for the next 18 months. A significant portion of the funding will go toward 3 strategic priorities.

First, Kotoha plans to expand into North America and Europe by the end of 2025. The company is reportedly in advanced discussions with major logistics operators in Germany and the United States, including potential pilot programs with DHL Supply Chain and XPO Logistics.

Second, the startup will invest heavily in R&D, particularly in developing its next-generation KR-9 platform. This new system is expected to feature enhanced dexterity, improved vision capabilities powered by a custom-built multimodal model, and the ability to operate collaboratively alongside human workers without safety cages.

Third, Kotoha will construct a new manufacturing facility in Osaka, expected to triple its robot production capacity from 500 to 1,500 units per quarter. The facility will itself be heavily automated, serving as a showcase for the company's own technology.

What This Means for Businesses and Developers

For enterprises evaluating automation strategies, Kotoha's rapid growth validates a broader industry shift. Companies no longer need to choose between expensive, rigid industrial robots and experimental AI systems that lack real-world reliability.

Key implications include:

• Faster ROI on automation: Kotoha claims its robots achieve payback within 14 months, compared to 24-36 months for traditional industrial automation
• Lower integration barriers: Natural language interfaces and adaptive learning reduce the need for specialized robotics engineers
• Platform ecosystem opportunities: Kotoha is opening its SDK to third-party developers in Q3 2025, creating potential for custom applications
• Competitive pressure on incumbents: Legacy automation companies like Fanuc, ABB, and KUKA face growing disruption from AI-native competitors

For developers, the opening of Kotoha's SDK represents a particularly interesting opportunity. The platform will reportedly support Python and ROS 2 integration, allowing robotics engineers to build custom behaviors on top of Kotoha's foundation models without training their own systems from scratch.

Looking Ahead: The Race for Physical AI Supremacy

The $400 million investment in Kotoha Robotics reflects a broader conviction among top-tier investors that physical AI — the integration of advanced AI models with real-world robotic systems — represents the next massive value creation opportunity after large language models.

NVIDIA CEO Jensen Huang has repeatedly called physical AI 'the next wave,' and the company's Isaac and Omniverse platforms are specifically designed to accelerate robotic AI development. Google DeepMind has also made significant strides with its RT-2 robotic transformer model, demonstrating that foundation models can effectively control physical systems.

The competitive landscape is intensifying rapidly. With Figure AI, Tesla's Optimus program, Amazon's growing robotics fleet, and now Kotoha Robotics all racing to define the category, the next 2 years will likely determine which approaches — humanoid vs. modular, Western vs. Asian, proprietary vs. open — win out in the market.

For SoftBank, the bet is clear: AI's future is not just digital. It is physical, industrial, and increasingly autonomous. Whether Kotoha Robotics can deliver on that vision at scale remains to be seen, but $400 million in fresh capital certainly improves its odds.