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“Dialogue with Liu Chen: Solving the “realism” problem in physical AI, Lingdi Technology’s simulation ambitions go beyond clothing”

2026-09-06 08:00 Products & Apps 🔥 42.2 heat score
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Liu Chen, founder of Lingdi Technology, said that the company is committed to solving the “realism” problem in the field of simulation for physical AI. Currently, Lingdi Technology has developed a high-fidelity digital human model library covering categories such as clothing, footwear, and luggage, and has implemented full-chain digital management from design to production. By incorporating physical engines and AI algorithms, this technology can simulate the dynamic changes of fabrics in different environments, significantly improving the realism of virtual prototypes, thereby reducing the cost of physical trial and error.

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Lingdi TechnologyLiu ChenStyle3DStyleWorkSynReal

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Lingdi Technology × Liu…1Lingdi Technology × Sty…1Lingdi Technology × Sty…1Lingdi Technology × Syn…1Liu Chen × Style3D1Liu Chen × StyleWork1

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  • Lingdi Technology1
  • Style3D1
  • Liu Chen1
  • StyleWork1
  • SynReal1

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钛媒体 zh 2026-09-06 08:00

“Dialogue with Liu Chen: Solving the “realism” problem in physical AI, Lingdi Technology’s simulation ambitions go beyond clothing”

Style3D Technology released the SynReal embodied simulation system and announced a partnership with Galaxy General, aiming to solve the “realism” problem in physical AI. Founded in 2015, the company focuses on flexible body simulation as its core technology, possessing a database of physical parameters for hundreds of thousands of fabrics and 106 authorized patents worldwide. Its shareholders include Shunwei Capital, Baidu, Hillhouse Venture Capital, etc., with over 1 billion yuan in financing. Through a “simulation + real device” closed-loop strategy, Style3D Technology utilizes GPU computing power and understanding of physical laws to generate diverse data at low cost and high efficiency for robot training, thereby narrowing the gap between simulation and the real world. Currently, manufacturing enterprises account for about 40% of its customers, while brand enterprises make up 30%. In cases such as Taipingniao and Ningbo Chunhe, this technology has significantly improved research and development efficiency, reduced costs, and shortened design cycles. In the future, Style3D Technology plans to generalize the flexible body understanding algorithm to more living scenarios like skin, hair, and sofas, pushing the textile and clothing industry into the digital intelligent era.