Path Robotics Raises $300M Series E for Physical AI Welding Robots
Welding is one of the jobs factories have failed to automate for decades, because every joint is a little different and old robots only follow fixed paths. Path Robotics built a business on exactly that gap, and its annual recurring revenue grew 17 times in 18 months.
The Columbus, Ohio company raised a $300 million Series E at a $2.45 billion post-money valuation, led by Georgian, an AI-focused growth equity firm. Existing investors Addition, Drive Capital, IronArc Ventures, Tiger Global and Yamaha Motor Ventures came back, and D.E. Shaw Ventures and NAVER Ventures joined. Georgian partner Emily Walsh takes a board seat. Path has now raised more than $610 million since its 2018 founding. The money goes to deploying across U.S. industry, expanding beyond welding into other manufacturing tasks and robot form factors, and more compute and model training.
The core is Obsidian, a physical AI welding model trained on real production welding data. It finds the weld joints, plans the welds, and adjusts as conditions change. The customer list is heavy on defense: HII, Lockheed Martin and Saronic, plus mid-sized fabricators like EK Machine and Millerbernd. Earlier this year Path signed a $600 million performance-based production deal with HII for Navy shipbuilding. It also launched Rove, which puts Obsidian on a quadruped robot so the welder walks to the part instead of the part coming to the cell. Headcount is up 97% year over year, aiming for 400 by year end.
This is the physical-AI story with actual revenue behind it, which is rarer than the humanoid demos suggest. The interesting claim is CEO Andy Lonsberry's: the goal isn't one step but the whole factory. That's where the risk sits too. Welding works because Path has years of real weld data; every new task before and after welding needs its own data flywheel. Defense demand makes the near term safe. Whether the model generalizes beyond the torch is what the next round will be priced on.
Source: https://markets.financialcontent.com/stocks/article/bizwire-2026-11-10-path-robotics-announces-300-million-series-e-financing-at-245-billion-valuation-to-scale-physical-ai-for-manufacturing (Business Wire release)
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The Columbus, Ohio company raised a $300 million Series E at a $2.45 billion post-money valuation, led by Georgian, an AI-focused growth equity firm. Existing investors Addition, Drive Capital, IronArc Ventures, Tiger Global and Yamaha Motor Ventures came back, and D.E. Shaw Ventures and NAVER Ventures joined. Georgian partner Emily Walsh takes a board seat. Path has now raised more than $610 million since its 2018 founding. The money goes to deploying across U.S. industry, expanding beyond welding into other manufacturing tasks and robot form factors, and more compute and model training.
The core is Obsidian, a physical AI welding model trained on real production welding data. It finds the weld joints, plans the welds, and adjusts as conditions change. The customer list is heavy on defense: HII, Lockheed Martin and Saronic, plus mid-sized fabricators like EK Machine and Millerbernd. Earlier this year Path signed a $600 million performance-based production deal with HII for Navy shipbuilding. It also launched Rove, which puts Obsidian on a quadruped robot so the welder walks to the part instead of the part coming to the cell. Headcount is up 97% year over year, aiming for 400 by year end.
This is the physical-AI story with actual revenue behind it, which is rarer than the humanoid demos suggest. The interesting claim is CEO Andy Lonsberry's: the goal isn't one step but the whole factory. That's where the risk sits too. Welding works because Path has years of real weld data; every new task before and after welding needs its own data flywheel. Defense demand makes the near term safe. Whether the model generalizes beyond the torch is what the next round will be priced on.
Source: https://markets.financialcontent.com/stocks/article/bizwire-2026-11-10-path-robotics-announces-300-million-series-e-financing-at-245-billion-valuation-to-scale-physical-ai-for-manufacturing (Business Wire release)
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