AgiBot Secures Strategic Investment from LG Electronics in First Global Embodied AI Move

August 1, 42HOW Robotics learned that AgiBot has received a strategic investment from an international group. This investment was jointly led by LG Electronics and Mirae Asset Group of Korea. According to public information, this marks LG Electronics' first global expansion into the field of embodied AI.

According to the Tianyancha App, prior to this round, AgiBot had completed 10 rounds of financing, with a valuation exceeding 15 billion yuan.

In March 2023, AgiBot completed its seed round funding, led by Huiyin Ventures and co-participated by JiXi ChuangTan.

In April, AgiBot launched its A-round and A+ round funding, with capital injected jointly by CDH Investments and GGV Capital.

In August, it completed its A++ round funding, with investors including BYD and Lanchi Ventures.

In December, it completed its A+++ round funding, raising over 600 million yuan. Well-known institutions such as BYD, Baidu Venture (which participated in the A+ round), Sanhua Holdings, and Huiyin Ventures (which participated in the angel and A rounds and continued to add investments) joined the venture.

In 2024, AgiBot completed two rounds of financing, in March and September respectively, with investors including Sequoia Capital, SAIC Motor, and Lanchi Ventures.

In March 2025, AgiBot completed a financing round led by Tencent, with participation from multiple industrial partners and existing shareholders including Longcheer Technology, Wolong Electric, Huafa Group, and Lanchi Ventures.

In May, JD.com and the Shanghai Embodied AI Fund participated in AgiBot's latest financing round, while existing shareholders such as Sequoia Capital, SAIC Venture Capital, and TCL made over-subscribed follow-on investments.

On July 15, AgiBot received strategic investment from CP Robotics Co., Ltd., a subsidiary of the Charoen Pokphand Group.

Founded in February 2023, AgiBot was established by a co-founding team comprising senior executives from globally renowned enterprises with extensive industry experience, top scientists in the field of artificial intelligence, and other industry veterans. The team possesses deep core technology backgrounds, comprehensive industrial management experience, and rich industry resources. Among them, co-founder and CTO Peng Zhihui (Zhihui Jun) is a well-known KOL in the tech circle. He graduated with a master's degree from the School of Information and Communication Engineering at the University of Electronic Science and Technology of China in 2018 and previously conducted research on Ascend AI chips and AI algorithms at Huawei.

At the recently concluded World Artificial Intelligence Conference, AgiBot officially launched the industry's first reference framework for an embodied AI operating system—the open-source initiative "AgiBot Lingqu OS."

This system originates from AgiBot's mass-production-validated product technology framework, featuring high performance, easy scalability, orientation toward embodied hardware, and validation through mass production. It perfectly adapts to devices in various fields such as industrial, commercial service, and home service applications, providing a unified technical foundation for intelligent applications in different scenarios.

In terms of products, AgiBot has built a full-stack technology covering "robot body + AI," possessing three major robot families: Yuanzheng, Jingling, and Lingxi. Its products cover various commercial scenarios and are sold to multiple countries and regions worldwide. In January this year, the 1,000th general-purpose embodied robot produced by AgiBot officially came off the assembly line.

Yao Maoqing, partner of AgiBot and president of its embodied AI division, revealed at the World Artificial Intelligence Conference that the next-generation robot body in the Jingling series, Jingling G2, will be released in Q3 this year. It features comprehensive upgrades in motion accuracy and scenario adaptability, along with native data acquisition capabilities, further expanding the application boundaries of embodied AI.