Walden Robotics, a startup building general-purpose robots powered by large behavior models, raised $300 million（約480億円） at a $1.1 billion（約1800億円） valuation and launched out of stealth. The company's robots have already been performing real work in production at a Toyota plant in North America since February, less than two months after beginning customer pilots. Backing from Toyota, NVIDIA, Boeing, and others reflects growing industrial confidence that AI-driven robots capable of learning from real-world tasks will become central to manufacturing automation.
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Walden Robotics, a full-stack Physical AI company building general-purpose robots that learn and improve through real work, raised $300 million（約480億円） in funding and launched out of stealth at a $1.1 billion（約1800億円） valuation. The round is co-led by Toyota (Toyota Motor Corp, Toyota Invention Partners, and Toyota Ventures) and Deviation Capital, with participation from NVIDIA, Boeing, AE Ventures, Samsung Ventures, Prologis Ventures, CoreWeave Ventures, and others. Walden's robots, which build on research including Diffusion Policy and Large Behavior Models (LBMs), have been performing useful work in production at a Toyota plant in North America since February—moving from first pilot to real work in under two months.
Why it matters
Walden represents a major bet that general-purpose robots capable of continuous learning will drive the next wave of industrial automation. The company's ability to move from pilot to production use at scale (at a major automaker, no less) within weeks suggests that robotic systems are approaching practical viability for real manufacturing tasks. The backing of Toyota, NVIDIA, and Boeing signals confidence that in-house data collection, proprietary robotic AI models, and vertical integration in hardware are the winning formula for robot makers.
What to watch
Walden launched out of Toyota Research Institute in January 2026 and is already working with customers across multiple industries. The pace of deployment—from February pilot to real production work in under two months—and the roster of industrial and tech investors suggest the company will likely announce additional customer deployments and use cases in the near term.
Walden Robotics launched out of stealth with $300 million（約480億円） in funding and a $1.1 billion（約1800億円） valuation, making it one of the largest recent capital raises in the physical AI space. The company was founded by a team from Toyota Research Institute and began operation in January 2026. Within the first month, it started working with customers across multiple industries. By February, Walden's general-purpose robots had already transitioned from pilot programs to performing useful work in production at a Toyota plant in North America—a critical milestone achieved in less than two months.
Walden's approach is built on a decade of foundational AI and robotics research, particularly Diffusion Policy and Large Behavior Models (LBMs). These frontier models enable Walden's robots to learn new tasks quickly and to continuously improve through real-world practice. Unlike static, pre-programmed robotic systems, Walden's robots adapt and refine their behavior as they accumulate operational experience.
The funding round reflects deep industrial conviction. The lead investors—Toyota Motor Corp, Toyota Invention Partners, Toyota Ventures, and Deviation Capital—are joined by a coalition including NVIDIA, Boeing, AE Ventures, Samsung Ventures, Prologis Ventures, and CoreWeave Ventures, along with financial backers such as Calibrate Ventures, Colle Capital, Shine Capital, NextView Ventures, Squarepoint Capital, One Madison Group, KAS Venture Partners, and Menlo Ventures. This alliance structure indicates that the winning formula in robotics combines frontier AI models, proprietary in-house data collection from real deployments, vertical integration in motors and actuators, and deep partnerships with manufacturing incumbents and cloud infrastructure providers.
Walden Robotics emerges at a moment when industrial automation is shifting from scripted, single-task robots to systems that learn continuously from real-world deployment. The company's research lineage—Diffusion Policy and Large Behavior Models—represents a frontier approach to imparting flexibility and adaptability to physical systems. The speed at which Walden moved from launching out of stealth to performing production work at a major automaker (under two months from pilot to real deployment) suggests that the core bottleneck in robotics deployment may no longer be technical feasibility but rather the operational integration and trust-building required to deploy autonomous systems in existing factories.
The funding consortium is telling: Toyota brings manufacturing scale and domain expertise; NVIDIA brings compute and AI infrastructure; Boeing brings aerospace-grade safety and reliability expectations; Samsung and others bring component integration capability. This vertical alliance structure reflects a broader industry thesis that the winners in robotic automation will be those combining frontier AI models, proprietary data collection from real work, and deep hardware integration. Walden's own emphasis on continuous learning through real-world practice (rather than simulation) aligns with this view—the robots improve as they work, generating proprietary data that further improves the models.
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