How RoboForce is Scaling Physical AI Robo-Labor

RoboForce, building the future of Physical AI, scalable, deployable Robo-Labor designed for demanding industrial environments, led by Leo Ma, Calvin Zhou, and others, has secured $52 million in oversubscribed funding, bringing the total raised to $67 million. The round was led by YZi Labs with participation from Jerry Yang (co-founder and former CEO of Yahoo! Inc.), who joined existing investors Myron Scholes (Nobel Laureate economist), Gary Rieschel (Founding Partner of Qiming Ventures), Carnegie Mellon University, and beyond. 

The new capital will accelerate development of the company’s next-generation robot foundation model, scale general-purpose physical AI robots, and advance manufacturing readiness for commercial deployment.

Industrial operators face a widening gap as physically demanding, repetitive, and safety-critical work continues to rely on increasingly scarce human labor, slowing timelines, and elevating risk.

RoboForce addresses this challenge by deploying AI-powered robots to handle high-risk, repetitive tasks across sectors such as utility-scale solar, data centers, mining, shipping, manufacturing, and logistics.

“Robo-labor is critical for tasks that are dull, dirty, and dangerous,” said Leo Ma, Founder and CEO of RoboForce. “The challenge lies in labor availability, cost, and safety across key industrial sectors. The goal is to shift humans into safer, higher-value roles while robots handle the most demanding work.”

The capital raise strengthens RoboForce across three core pillars, accelerating the expansion of its Physical AI platform and Robo-Labor deployments:

Advancing its robot foundation model and AI data flywheel, combining real-world fleet data with high-fidelity simulation to build a closed-loop system that continuously improves performance.

Scaling manufacturing and the Physical AI platform, increasing production capacity, and reinforcing global supply chains for reliable operation in demanding industrial environments.

Driving commercialization, transitioning pilot programs into full deployments, and establishing recurring revenue across key industrial sectors.

RoboForce is developing an advanced physical AI foundation model and robotics stack in collaboration with NVIDIA, leveraging its end-to-end computing and simulation ecosystem as the AI backbone.

Powered by NVIDIA Jetson Thor at the edge, along with NVIDIA Isaac Sim and NVIDIA Isaac Lab for simulation and training, plus NVIDIA Cosmos and NVIDIA OSMO, the company is building a continuous data flywheel that accelerates learning and enables scalable, reliable deployment in complex industrial environments.