PsiBot

PsiBot is a company focused on general-purpose embodied intelligence, developing large-scale Vision-Language-Action (VLA) models and dexterous manipulation algorithms for robots. Founded in September 2024 by Dr. Viktor Wang, Dr. Xiaojie Chai, and Yuanpei Chen, the company aims to bridge the gap between AI's cognitive abilities and physical interaction with the real world. Dr. Wang, the CEO, has nearly two decades of experience in productization for mobile devices, smart speakers, and robotics. Co-founder Dr. Chai contributes over 15 years of expertise in robotics and autonomous driving, while co-founder Yuanpei Chen, a post-2000s robotics prodigy, was recognized in Forbes Asia's 2025 "30 Under 30" list.

The firm's core technology is centered on a hierarchical end-to-end architecture, often referred to as a "fast/slow brain" system, which combines intuitive motor control with deliberate reasoning and planning. This approach utilizes reinforcement learning (RL) to train robots, enabling them to learn and execute long-horizon, complex tasks that go beyond simple pick-and-place operations. PsiBot has introduced a series of end-to-end RL-based embodied models—Psi R0, R0.5, and R1—which have demonstrated capabilities such as dexterous manipulation, generalization to unseen objects, and long-term task reasoning in open environments. To facilitate this, the company has also developed a suite of supporting software and hardware, including the Psi Sim high-fidelity training platform, the Psi Data collection platform, and hardware like the Psi H1 dexterous hand and Psi E1 exoskeleton for data capture.

PsiBot's business model is B2B, targeting high-value scenarios in sectors like advanced manufacturing, retail logistics, and B2B services. The company's initial commercial applications focus on semi-structured environments such as barcode-scanning operations in clothing warehouses. PsiBot has secured significant funding to accelerate its growth, including an angel round led by GL Ventures and Lanchi Ventures, and a combined angel and Pre-Series A financing of approximately $280 million from investors including state-backed funds like Xuhui Capital. The capital is being used to expand deployments in logistics and build out a large-scale embodied AI data infrastructure, with a goal of accumulating one million hours of real-world training data by 2026.

Keywords: embodied intelligence, dexterous manipulation, reinforcement learning, Vision-Language-Action models, VLA, robotics, artificial intelligence, robot skill learning, autonomous robots, human-robot interaction, simulation platform, data collection, hierarchical architecture, logistics automation, manufacturing automation, retail automation, long-horizon tasks, Psi R1, PsiBot, computer vision