Genesis AI, founded in 2025 by Zhou Xian and Théophile Gervet, is building a universal robotics foundation model and horizontal platform to advance physical AI and enable large-scale automation of physical labor. The company raised $105 million in seed funding from Eclipse Ventures and Khosla Ventures upon emerging from stealth in July 2025.
The company's technical approach centres on creating general-purpose foundation models for robotics alongside a scalable data engine that fuses real-world robot interaction data with high-fidelity physics simulation. Genesis AI is developing robotic systems designed to operate reliably in unstructured, real-world environments rather than controlled settings, addressing a core bottleneck where physical AI lags behind digital AI capabilities.
Genesis AI's platform comprises several components: a universal foundation model serving as a general-purpose base for robotic applications, a horizontal platform supporting diverse robotic deployments across domains, a data engine combining simulation and real-world interaction, and an open-source ecosystem intended to accelerate progress across the robotics field. The company's team draws talent from Mistral AI, NVIDIA, Google, and leading universities including Carnegie Mellon, MIT, Stanford, Columbia, and the University of Maryland.