Genesis AI is a Robotics Foundation Models company founded in 2024 and based in Palo Alto, United States. It has raised $105M in total funding, most recently a Seed in 2025.
No dated funding rounds on file. This company is privately held and may be raising or operating on undisclosed capital.
Genesis's thesis is that owning the physics-simulation and data-engine layer, not just the model, is the defensible position in the universal robot-brain race — but a thesis is all it is today: the company is pre-commercial, first customer deployments are targeted for end-2026, and its choice to open-source parts of the simulator and data engine gives away exactly the layer the moat argument rests on. There is no pricing behavior, no essentiality, and no revenue base to grade — the scorecard is honestly mostly N/A. The live risk is that Nvidia's Isaac/Omniverse stack and better-funded foundation-model labs are building the same layer with more capital, so the GENE-26.5 demos must convert into deployed, paying dependence before the field consolidates.
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Robotics foundation model purpose-built to absorb massive amounts of data and environments, enabling robots to perform complex, long-horizon tasks with unmatched dexterity and human-level capabilities. Paired with a human-scale dexterous robotic hand enabling direct skill transfer from humans to robots and a powerful data engine. Its simulator combines hyper-realistic rendering with physics tuned to mimic real-world conditions, narrowing the sim-to-real gap. Targets automotive, electronics, pharmaceuticals, and logistics—domains where conventional grippers stumble on tasks like wire harnessing. Can drive a wide range of robots, including hardware built by other manufacturers.
Simulation platform for physical AI development combining a unified multi-physics engine, photo-realistic renderer (Nyx), and cross-platform compiler (Quadrants) behind a Pythonic interface. Scales from single laptop to datacenter-grade GPUs. Focuses on closed-loop model evaluation: foundation model evaluations requiring nearly a week of real-world testing can run in ~30 minutes on GPU. Achieves 89% correlation with on-hardware rollouts and 45% smaller reality gap than alternative simulators. Open-source.
Wheeled general-purpose robot designed to extend human capabilities, featuring a wheeled base and human-scale dexterous hands for precise manipulation. Combines Genesis AI's full-stack hardware platform with GENE, the company's robotics-native AI brain, which enables the robot to reason through tasks, adjust when conditions change, and carry out jobs beyond pre-programmed movements. Designed to perform a range of physical tasks across manufacturing, logistics, laboratories, healthcare and hospitality environments. Genesis AI plans to begin production and targeted customer deployments by the end of 2026.