Huawei "Embodied Brain No. 1" entrepreneurship: Brainpanstone Tech secures 100-million-yuan financing

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On May 25th, Shanghai Junbrain Rock Technology Co., Ltd. announced the completion of a new round of financing in the hundreds of millions of RMB, led by industrial capital with backgrounds in brain-like and embodied industries. Existing shareholders and multiple funds also participated in the follow-up investment, with Multidimensional Capital serving as the exclusive financial advisor. At the same time, another round of financing is being synchronously delivered.

This is the company's second round of financing since completing tens of millions of RMB seed funding in early 2026. Post-investment partners include Sichuan Kechuang Investment, Leju Robotics, Daohe Long-term Investment, and Orient Seiko.

Junbrain Rock was founded in the second half of 2025. Its founder is Zhu Senhua, former Director of the Huawei Cloud AI Algorithm Innovation Lab.

Zhu Senhua's experience spans computer science and cognitive neuroscience. He focused on AI during his undergraduate and master's studies, earned a Ph.D. in Cognitive Neuroscience from the University of Pennsylvania, and later completed postdoctoral research at the National Key Laboratory of Brain and Cognitive Sciences at the Chinese Academy of Sciences.

During his six years at Huawei, he led projects such as the AI Brain Science Cloud Platform and the Pangu Embodied Large Model. He was recognized within Huawei as the “No. 1 for Embodied Brain” and also served as an interviewer for the “Huawei Talented Youth” program.

It is notable that, at the peak of the embodied intelligence track in 2025, Zhu Senhua made a choice different from the mainstream: he did not follow the industry’s VLA model route or stack data and computing power, but chose the Neural AI paradigm of brain-like intelligence to construct cognitive world models.

This technical route is similar to the joint embedding predictive architecture proposed by Turing Award winner Yann LeCun, aiming to enable robots to learn state evolution and reason about future trends in abstract representational space, rather than just fitting data.

Co-founder Liu Jinyu previously led the commercialization of product lines such as Geek+ intelligent forklifts. Other core members come from companies including Huawei, Lenovo, and Megvii, and the team covers the full chain from AI algorithms and robotic systems to supply chain and global commercialization.

That a startup established for just over half a year can secure financing continuously is closely related to its early commercialization progress.

In December 2025, Junbrain Rock obtained two important orders in less than two weeks: first, signing a strategic cooperation agreement with the GEM-listed company Newtag, securing a purchase order for no less than 1,000 embodied robots over the next three years, covering scenarios in culture & tourism, industry, retail, and business services; then, receiving an order exceeding 20 million RMB from a leading listed international intelligent manufacturing company, with plans to form a joint team to expand into the Asia-Pacific, Middle East, and European and American markets.

Overseas, Junbrain Rock has completed the first industrial scenario PoC verification with a Japanese partner, and, together with Leju Robotics, jointly exhibited embodied brain core technology based on brain-like intelligence at the Japan Global Industrial Expo in April 2026.

However, as a company only founded in October 2025, Junbrain Rock has not yet disclosed standardized products that can be sold independently in the traditional sense, and its signed orders are more strategic framework agreements, with actual delivery scale still needing time for verification.

Junbrain Rock's differentiation mainly lies in its technical route.

The current industry mainstream is still driven by large-scale data and computing power, while Zhu Senhua's team advocates using cognitive neuroscience as a blueprint, focusing on four technical goals: low data, high generalization, lifelong learning, and low power consumption, directly corresponding to real-world constraints such as data costs, cross-scenario adaptation, continuous operation, and computing power limitations in embodied applications.

Internationally, in March 2026, AMI Labs completed a $1.03 billion seed round, also showing capital attention to this technical direction.

However, the brain-like intelligence route still faces certain challenges.

On the one hand, this route is still in its early stages of industrialization overall, with engineering implementation and large-scale delivery paths remaining to be verified; on the other, domestic embodied intelligence tracks are highly competitive, with companies such as Weifan Intelligence also advancing in directions like "brain chips," and some leading startups focusing on the direction are still operating at a loss.

Whether Junbrain Rock can deliver on its technical potential after completing capital accumulation will be a key focus for the next stage.

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