RoboForce: $52 Million Raised To Scale Physical AI Robo-Labor

By Amit Chowdhry • Today at 7:52 PM

RoboForce, a developer of Physical AI-powered robotics systems for industrial labor, announced it has raised $52 million in an oversubscribed funding round as it moves from research and development toward scaled commercial deployments. The new capital brings the company’s total funding to $67 million.

The funding round was led by YZi Labs, a $10 billion investment fund, and included participation from Jerry Yang, co-founder and former CEO of Yahoo. Existing investors also joined the round, including Nobel Prize–winning economist Myron Scholes, Gary Rieschel of Qiming Ventures, and Carnegie Mellon University.

Founded in 2023, RoboForce is building robotics systems designed to perform physically demanding industrial tasks that are often difficult to staff with human labor. The company focuses on environments such as utility-scale solar installations, data centers, mining, shipping, manufacturing, and logistics, where work is frequently repetitive, hazardous, or physically demanding.

The new funding will support three major areas of expansion. First, RoboForce plans to further develop its robot foundation model and AI data flywheel, which integrates real-world robot fleet data with high-fidelity simulations to improve robotic intelligence through a closed-loop learning system.

Second, the company intends to scale manufacturing and advance its Physical AI robotics platform. This includes increasing production capacity and strengthening global supply chain operations to ensure robots can operate reliably in harsh and complex industrial environments.

Third, RoboForce will accelerate commercialization efforts by transitioning pilot programs into full production deployments and establishing recurring revenue streams across key industrial sectors.

RoboForce is developing its robotics platform in collaboration with NVIDIA. The company uses NVIDIA Jetson Thor for edge computing, NVIDIA Isaac Sim and Isaac Lab for simulation and robot training, NVIDIA Cosmos for synthetic data generation, and NVIDIA OSMO for cloud-to-edge orchestration. Together, these technologies form a continuous data pipeline designed to accelerate robot learning and enable large-scale deployment in real-world environments.

The company’s team includes engineers and researchers from organizations such as Carnegie Mellon University, the University of Michigan, Amazon Robotics, Google, Waymo, Cruise, Tesla Robotics, ABB, and Apple.

KEY QUOTE:

“Robo-Labor is essential for work that is dull, dirty, and dangerous. 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.”

Leo Ma, Founder & CEO, RoboForce