Gasgoo Munich- On May 29, Xynova has officially closed its Series A round, bringing total fundraising to nearly 1 billion yuan. The round was led by Li Auto Strategic Investment, CSC Financial Capital, and CSC Financial Investment, with participation from Zhejiang Cultural Internet and Yuanjia Fund. Existing backers, including Caitong Capital, Xiaomi Strategic Investment, and CETC Fund, also doubled down.
Image source: Xynova
Xynova argues that the focus in the next phase of embodied intelligence is shifting from how fast or stable a robot moves to how much it can actually do—and the value it generates. The dexterous hand, which dictates whether robots can successfully enter factories and homes, is now the critical factor determining that value ceiling.
Replicating a human hand—refined over millions of years of evolution—is a formidable systems engineering challenge, the company notes. It requires striking an extreme balance between performance, cost, and reliability, while overcoming hurdles like power loss, thermal management, and mass production.
Proceeds from this round will be channeled directly into this core battleground:
1. Building a high-reliability, general-purpose dexterous execution platform
Building on the integrated arm-hand advantages of its Flex 1, Xynova has introduced the Flex 2 dexterous hand, featuring a hybrid "cable-driven plus direct-drive" system. The product delivers high performance without sacrificing reliability or cost efficiency, offering a stable, high-performance platform for embodied intelligence operations.
2. Solidifying mass production and delivery capabilities
Dexterous hands account for nearly 50% of the engineering effort and 30% to 40% of the cost of a humanoid robot. Xynova has added a 5,400-square-meter mass production line to its existing facilities. Inside the factory test workshop, Flex 2 sub-components are undergoing relentless high-intensity testing—over 2 million open-close cycles with an MTBF of at least 5,000 hours. Batch deliveries of dexterous hands and miniature electric cylinders have already begun for top-tier industry clients. The company plans to use the new capital to further expand capacity and meet surging market demand.
3. Building a full-stack closed loop of "hardware + algorithms + data"
The bottleneck for scaling real-world applications lies in the synergy between hardware, computing power, and model algorithms. Leveraging its full-stack in-house R&D and production capabilities, Xynova aims to integrate human-like cerebellar algorithms with its high-degree-of-freedom hybrid dexterous hands. By embedding "data probes" into daily production and living scenarios, the company will use hardware to drive high-quality data collection and simulation training—continuously enhancing the performance of humanoid robots in generalized work environments.
