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Home - Asia - DEEP Robotics Secures Over USD 70 Million in Collection C Funding to Advance System-Degree Embodied Intelligence
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DEEP Robotics Secures Over USD 70 Million in Collection C Funding to Advance System-Degree Embodied Intelligence

NextTechBy NextTechDecember 14, 2025No Comments2 Mins Read
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DEEP Robotics Secures Over USD 70 Million in Collection C Funding to Advance System-Degree Embodied Intelligence
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On December 9, 2025, DEEP Robotics (Hangzhou Yunshenchu Know-how Co., Ltd.) introduced that it has raised greater than USD 70 million in a Collection C spherical. The spherical was co-led by CMB Worldwide and China Asset Administration, with strategic funding from funds beneath China Telecom and China Unicom. Extra buyers included Yunhui Capital and SMIC Juyuan, whereas present shareholders similar to Fortune Capital continued to extend their stakes.

The funding can be used to develop R&D, appeal to prime expertise, and speed up improvement of quadruped and humanoid robots, pushing embodied-intelligence expertise from “remoted breakthroughs” to system-level enablement. DEEP Robotics has recorded a robust yr: in April, it launched the world’s first wheel-leg hybrid quadruped robotic, the M20 ‘Lynx’; in October, it launched the DR02, the world’s first industry-grade all-weather humanoid robotic; and it unveiled DeepVLA 1.0, a vision-language embodied navigation system.

The corporate’s options now function throughout 34 provincial-level areas in China and 44 nations worldwide, supporting purposes similar to power-grid inspection and safety patrols. For instance, its robots have helped cut back operation-and-maintenance prices by about 70% at China Southern Energy Grid substations, carry out safety duties at Yiwu Worldwide Commerce Metropolis, help with wildlife analysis within the Hoh Xil reserve, and develop into abroad situations together with North American warehousing and Saudi Arabia’s NEOM megacity undertaking.

Trying forward, DEEP Robotics will proceed advancing its “impartial innovation + industrial collaboration” technique to drive deeper integration of robotics and real-world industries.

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