Fern
Founded by Amit Yadav
Train and evaluate robotic systems using high-fidelity reinforcement learning simulation environments
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You can use Fern to simulate, train, and test robot behaviors in virtual environments before deploying them in the real world. The service provides high-fidelity reinforcement learning and evaluation setups tailored for robotics hardware. Engineers can test autonomy models, measure edge cases, benchmark sensor-motor policies, and validate physical AI systems safely at scale. By running automated evaluations in simulated physics environments, robotics teams speed up development cycles, reduce hardware damage risks, and improve the reliability of robotic policies prior to field deployment.
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