PsiBot is approaching embodied AI from the manipulation bottleneck rather than from locomotion alone. Its thesis is that progress in reinforcement learning, simulation, and data generation can unlock general-purpose dexterous manipulation agents that are directly useful in commercial environments.
In 2025, PsiBot highlighted recognition for its reinforcement-learning leadership, including Forbes Asia 30 Under 30 for co-founder Yuanpei Chen. The company used that moment to reinforce its message that simulation-to-reality dexterous manipulation was its central technical moat.
PsiBot builds dexterous manipulation AI and robot hardware for embodied intelligence, combining dual arms, five-finger hands, and mobile bases with reinforcement-learning-driven control. Founded in 2024 by product and research veterans from JD.com Robotics, Huawei, Tencent, and Stanford-linked labs, the company focuses on general-purpose dexterous manipulation.
PsiBot was founded in 2024 by a team spanning robotics productization, reinforcement learning, simulation, and full-stack engineering. The company positioned itself around the challenge of combining high dexterity, generalization, and success rate in embodied AI systems.
In November 2024, PsiBot announced an angel round led by GL Ventures and Lanchi Ventures. It said the funding would support reinforcement-learning-based robot skills, scenario-driven data generation, and end-to-end dexterous manipulation systems.
In 2025, PsiBot highlighted recognition for its reinforcement-learning leadership, including Forbes Asia 30 Under 30 for co-founder Yuanpei Chen. The company used that moment to reinforce its message that simulation-to-reality dexterous manipulation was its central technical moat.
