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Genesis AI’s AI models for smart robotics adopt a data-centric, full-stack approach to physical AI by developing a scalable universal data engine for physics simulation to build robots that can work around people, adapt and overcome complex spaces and even understand new situations

July 3, 2025 //  by Finnovate

Genesis AI, a global physical artificial intelligence research lab that develops AI models for smart robotics, has launched after raising $105 million in funding. Genesis AI said that it brings a data-centric, full-stack approach to physical AI by building a scalable universal data engine for physics simulation and using large-scale robotics data collection. Robots driven by physical AI robotics foundation models, or RFMs, can work around people, adapt and overcome complex spaces and work alongside people and even understand situations they were not originally introduced to. Genesis said it wants to deliver a platform that can bring human-level intelligence to robotics for different robots with an RFM that can be deployed no matter the type of robot. To approach the matter, the company forged an expert team of industry technical talent and academia from Mistral AI SAS, Nvidia Corp., Google LLC, Carnegie Mellon University, Massachusetts Institute of Technology, Stanford University, Columbia University and the University of Maryland. Genesis said its core engineering team has deep expertise in simulation, graphics, robots and large-scale AI model training and deployment. Genesis believes there’s a clear opportunity for general-purpose robotics across factory floors, warehouses, healthcare and agriculture. All these scenarios require precise tool use and close proximity with human counterparts, which cannot be easily programmed with the current software stacks employed by modern solutions.

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