Lingyu Intelligent,

About Lingyu Intelligent,

Lingyu Intelligent, also known as LingYu Robotics, is a physical-world data infrastructure provider for embodied intelligence. The company was founded in February 2025 by a team with affiliations to Tsinghua University and Carnegie Mellon University. It focuses on developing the underlying infrastructure for embodied intelligence, including robot research and development, real-world data collection, and a cloud operation platform. The founding team consists of Chief Scientist Mo Yilin, a tenured associate professor at Tsinghua University's Department of Automation, and CEO Jin Ge, who also graduated from the same department and has experience in tech entrepreneurship and corporate management. The company's business strategy follows three steps: selling the robot body, selling data, and ultimately selling capabilities to foster the development of fully autonomous robots. Lingyu Intelligent provides an integrated hardware-software, edge-cloud ecosystem that covers the entire pipeline from task execution and data collection to model training and capability iteration. Its primary clients include research institutions, data collection centers, and customers in complex, unstructured environments. The firm's core product is the LingYu TA series of teleoperation robots, designed for high-quality data collection for AI training. These robots feature dual seven-axis arms, a wheeled chassis, low operational latency (under 100 milliseconds), and high-precision repeatability. Data collection is facilitated through a low-cost VR device solution. In July 2025, Lingyu launched the TA lite, a mass-produced wheeled humanoid robot. The company has completed multiple funding rounds, including a seed+ round of tens of millions of yuan in September 2025 and a Pre-A round of hundreds of millions of yuan in August 2026. These funds are allocated to mass production of its robots, upgrading its data collection pipeline, and developing its cloud platform. Lingyu has achieved large-scale commercial deployment in open retail scenarios, like JD Supermarket, demonstrating a complete loop from hardware to data pipeline.