Lumos Robotics Secures Pre-A1 and Pre-A2 Financing Rounds
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Lumos Robotics’ completion of its Pre-A1 and Pre-A2 funding rounds and highlights breakthroughs in embodied-intelligence data, hardware, and commercialization.
Lumos Robotics has completed its Pre-A1 and Pre-A2 financing rounds, raising tens of millions of U.S. dollars. The investor lineup spans multiple sectors: the Pre-A1 round was led by CDH Investments, with Nanjing Venture Capital, JinJing Capital, and Jingu Shares participating, while the Pre-A2 round was backed by Shenergy Chengyi Investment. The new capital will be used to advance the company’s work in embodied-intelligence data and hardware development.
On the technology front, Lumos Robotics demonstrates strong competitive advantages. Its FastUMI data-collection technology delivers a 3× efficiency boost, cuts costs to one-fifth, and achieves 1–3 mm precision. The company has already accumulated 10,000 hours of real-world robot data and completed base-model training. In hardware, its self-developed high–torque-density integrated joints have enabled the creation of the industry’s first dual-arm robot with a 50 kg payload. The all-PEEK cycloidal joint module reduces weight by 40% and increases torque density by 60%.
Commercialization is progressing rapidly. Lumos has secured recognition from top-tier customers including Mitsubishi Japan and COSCO Shipping. Strategic shareholders include Fosun Group and SenseTime. Its robots have won silver in the group dance competition at the World Humanoid Robot Games, and the “Lu Xiaoming” robot appeared in the live broadcast of the National Games closing ceremony. The company boasts a high-caliber team, with founder Yu Chao and CTO Cao Junliang each holding over a decade of industry experience; Co-CTO Ding Yan is an AI PhD; and over 70% of staff are R&D personnel, including more than ten PhDs.
Investors express strong confidence in Lumos Robotics’ technical prowess and commercialization potential. Looking ahead, the company will continue refining robot bodies, motion-control algorithms, and other core components, advancing the deployment of embodied intelligence in high-value application scenarios.
