Genesis AI launches with $105M seed funding from Eclipse, Khosla to build AI models for robots

Genesis AI, a robotics-focused startup founded in December by Carnegie Mellon Ph.D. Zhou Xian and former Mistral research scientist Théophile Gervet, has launched with a substantial $105 million seed funding round co-led by Eclipse Ventures and Khosla Ventures. The company aims to build a general-purpose foundational AI model to enable robots to automate diverse repetitive tasks, ranging from laboratory work to housekeeping. Unlike large language models trained on text, robotics AI requires extensive physical-world data, which is costly and time-consuming to collect. To address this, Genesis AI uses synthetic data generated through a proprietary physics engine capable of accurately simulating real-world physical interactions. This engine originated from a collaborative academic project involving 18 universities, with many researchers from that initiative now part of Genesis’s 20+ member team specializing in robotics, machine learning, and graphics. Genesis claims its proprietary simulation technology allows faster model development compared to competitors relying on NVIDIA’s software. The startup operates from offices in Silicon Valley and Paris and