RoboForce Raises $52M for Physical AI Platform for Industrial Robotics
- RoboForce raised $52 million in an oversubscribed funding round, bringing its total funding to $67 million.
- The funding will support its robot foundation model, platform expansion, and manufacturing readiness.
RoboForce raised $52 million in a round led by YZi Labs, with backing from investors including Jerry Yang, Myron Scholes, Gary Rieschel, and Carnegie Mellon University, bringing its total funding to $67 million. The company said the capital will support its robot foundation model, expansion of its robot platform, and progress toward manufacturing and commercial rollout.
“Robo-Labor is essential for work that is dull, dirty, and dangerous,” said Leo Ma, Founder & CEO of RoboForce, in a press release. “This problem centers on human workers’ availability, cost, and safety, and its impact spans across most critical industrial sectors. Our mission is to elevate humans into safer, higher value roles while robots take on the most demanding industrial tasks.”
RoboForce is building a Physical AI platform for industrial work that is physically demanding, repetitive, and safety-critical. The company said its system uses a robot foundation model trained on real-world fleet data and simulation, forming a continuous data loop across deployments. Its robots are intended for environments such as solar, data centers, mining, shipping, manufacturing, and logistics, where work depends on increasingly scarce human labor and carries safety risks.
RoboForce is building its physical AI foundation model and robotics system with NVIDIA. The company said it uses NVIDIA’s computing, simulation, and data tools to support robot learning and deployment. This setup is intended for use in complex industrial environments.
🌀 Tom’s Take:
RoboForce’s approach means each deployment feeds the next, turning operations into a compounding learning system rather than one-off automation.
Source: Business Wire / RoboForce
