
Genesis AI Raises $105M to Train Robotics AI Aiming at $30T Labor Market
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The company, founded in December 2024, operates out of Palo Alto and Paris. Its co-founders are Zhou Xian, a Carnegie Mellon robotics Ph.D. holder, and Théophile Gervet, a former researcher at Mistral AI.
Genesis Aims for Full Stack Approach
Genesis AI's core product is a large-scale model designed to equip robots with the ability to handle a wide range of real-world tasks. Its in-house physics simulation engine generates high-quality synthetic data, reducing the need for expensive and time-consuming real-world data collection. Combined with a data pipeline for real robot interactions, the company claims it can build robotics AI systems faster and more cost-effectively than competitors relying on third-party tools.
The goal is to bring general-purpose robotics closer to reality by making it more flexible, robust, and cost-efficient. Genesis AI plans to release components of its model and data engine to the developer community by the end of 2025.
$30 Trillion to $40 Trillion in Global GDP
According to the company, over 95% of physical labor worldwide remains unautomated, despite accounting for an estimated $30 trillion to $40 trillion in global GDP. Genesis AI is targeting this opportunity with a full-stack approach that spans simulation, generative modeling, and real-world deployment.
While competitors like Tesla (TSLA) and Nvidia (NVDA) focus on hardware or modular platforms, Genesis AI is betting that foundation models will define the next phase of robotics. If successful, its platform could support a range of use cases, from warehouse operations to consumer robots.
Using TipRanks' comparison tool, we've assembled and compared the tickers appearing in the piece that operate in the robotics sector. This helps investors gain a proper perspective on each stock's performance and the industry as a whole.

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