In 2025, Zhou Xian and Théophile Gervet recognized a fundamental bottleneck in the robotics field: while digital AI had made extraordinary progress, physical AI - the intelligence enabling machines to perceive, understand, and interact with the real world - lagged dramatically behind. Physical labor contributes an estimated $30-40 trillion to global GDP, yet over 95% remains unautomated because current robotic systems rely on brittle, rigid, and overfitted software stacks that are narrow in scope, costly to deploy, and impossible to scale.
They founded Genesis AI to bridge this gap, assembling a team of world-class talent from Mistral AI, NVIDIA, Google, CMU, MIT, Stanford, Columbia, and UMD. Their vision: build a universal robotics foundation model and horizontal robotics platform that would unlock unlimited physical labor. Genesis would achieve this through a scalable data engine fusing real-world robot interaction with high-fidelity physics simulation, an open-source ecosystem to accelerate field-wide progress, and robust robot deployments thriving in messy, unconstrained environments. With $105 million in seed funding from Eclipse Ventures and Khosla Ventures, Genesis emerged from stealth in July 2025 to build what's next in physical AI.