Genesis AI has recently emerged from stealth mode, completing a $105 million seed funding round. The startup, founded by Zhou Xian and Théophile Gervet, focuses on building a general-purpose model aimed at automating various tasks through robotics. To address the challenges of gathering real-world data, Genesis utilizes synthetic data from a proprietary physics engine, enhancing model development speed. This innovative approach positions them favorably against competitors in the robotics AI field, which includes companies like Physical Intelligence and Skild AI.
Genesis AI, a startup that aims to build a foundational model for powering all kinds of robots, has emerged from stealth with a giant $105 million seed round co-led by Eclipse Ventures and Khosla Ventures.
To overcome the challenge of acquiring real-world data, Genesis is turning to synthetic data, which it generates using a proprietary physics engine that accurately models the physical world.
Genesis claims its proprietary simulation engine allows it to develop models faster, a distinct advantage over competitors who rely on NVIDIA's software.
Kanu Gulati, a partner at Khosla Ventures, highlighted the uncertainty in creating a large robotics foundation model that generalizes across tasks as a significant challenge.
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