Corenetic: Teach Robots to Learn Like Humans
Corenetic founder Dr. Wenzhao Lian believes in creating robots that tackle real-world challenges. The startup’s embodied AI technology has broad potential, starting with its current application in life sciences, where its humanoid robots conduct various experiments in pharmaceutical labs.
At the core of Corenetic’s platform is AI technology that enables robots to learn from demonstrations, adapt to dynamic environments, and make decisions provided with only high-level instructions.
Robots built by Corenetic feature human-like arms and dexterous hands capable of flexible and precise motions. The company has already advanced its technology with a second version of its mobile manipulation robot and is now testing the robot with multiple customers.
Before founding Corenetic, Dr. Lian worked at Vicarious AI, Google X, and Figure. During his time at Vicarious AI, Dr. Lian led the robotics team, developing ways to train robots mimicking how humans learn. Dr. Lian joined Google X to build a unified software layer for robots to achieve broader intelligence before being recruited by Figure as its first AI expert to build robotic “brains.”
Dr. Lian founded Corenetic with Zheng Xie in 2023. Their approach begins with a defined use case for their research and development, which guides the form factor and hardware design of their robots. While Dr. Lian believes robots benefit from a shared physical framework, they don’t necessarily need to be humanoid–as long as they can share AI models, data, and algorithms across systems for scalable learning and deployment.
Corenetic’s robots currently feature a wheeled base, dual robotic arms, and dexterous hands. The startup prioritizes versatility, designing its robots to perform general-purpose tasks in fields like logistics, manufacturing, and service.
By combining advanced physical embodiment with an evolving AI-driven control stack, Corenetic aims to create robots capable of interacting intuitively with the physical world—developing intelligence that bridges perception, action, and real-time reasoning.