RMB 330 Million! Lin-gang Laboratory-Incubated Brain-Computer Interface Project Secures Largest Angel Round

VCBeat has learned exclusively that on August 3, Shanghai Zhudong Technology Co., Ltd. (hereinafter referred to as “Zhudong Technology”) announced the completion of a RMB 330 million angel financing round, setting a new record for angel financing in China’s brain-computer interface sector.

This round of financing was led by CAS Star, with participation from Legendstar Capital, Unity Ventures, Dalton Venture, InnoAngel Fund, BGI Songhe Life Science Fund, Jifeng Ventures, and Jiadao Capital.

The funds raised will be primarily allocated to facility expansion, equipment enhancement, advancement of clinical trials, and team expansion, thereby comprehensively accelerating the clinical translation and industrial commercialization of invasive brain-computer interface products.

Zhudong Technology, established in February 2026, is a cutting-edge platform enterprise dedicated to the research, development, and commercialization of invasive brain-computer interface technologies.

Leveraging its engineering expertise and academic accumulation in hardware system R&D, neural signal encoding/decoding algorithms, and animal validation, Zhudong Technology has established end-to-end independent R&D capabilities spanning flexible electrodes, specialized chips, decoding algorithms, and system integration. The company is committed to advancing the clinical application of motor, visual, and emotional brain-computer interfaces.

Currently, Zhudong Tech has established a 2,500-square-meter facility integrating office space and GMP-compliant workshops, and has entered a stable phase of R&D and production. By the end of 2026, the company is expected to complete its new headquarters, spanning over 10,000 square meters and including a micro-nano fabrication platform, with its team growing to more than 100 members.

As the company enters a phase of rapid growth, we look forward to welcoming more like-minded talents to join us in driving brain-computer interface technology from the laboratory to clinical applications and toward a broader future.

Brain-computer interfaces are one of the six clearly defined future industries in the “15th Five-Year Plan,” standing alongside quantum technology, biomanufacturing, hydrogen energy and nuclear fusion energy, embodied intelligence, and sixth-generation mobile communications, representing a core area of national strategic foresight and layout.

In July 2025, the Ministry of Industry and Information Technology, together with six other departments, jointly issued the “Implementation Opinions on Promoting the Innovative Development of the Brain-Computer Interface Industry,” which proposes that by 2027, breakthroughs will be achieved in key brain-computer interface technologies, and an advanced technological system, industrial system, and standardization system will be initially established.

By 2030, cultivate two to three globally influential leading enterprises and a cohort of specialized, refined, distinctive, and innovative small and medium-sized enterprises.

Currently, the focus of competition in the brain-computer interface (BCI) industry is shifting from breakthroughs in isolated technologies to a contest of full-stack systems engineering capabilities and the speed of clinical translation. Teams that possess both autonomous control over core underlying components and the support of national-level research platforms have become key variables in the global BCI competitive landscape—Zhudong Technology is a representative innovative enterprise in this regard.

The core technology team of Zhudong Technology is led by three PhDs: Jia Jing, Zhao Bin, and Yi Guoliang. Meanwhile, Wu Guojia, the company’s CEO, has long been engaged in the development, manufacturing, and commercialization of Class III medical devices, possessing extensive experience in industrialization.

Core Team Members of Zhudong Technology

The company’s SAB (Science Advice Board) brings together top scientists in the fields of neuroscience, flexible electrodes, software and algorithms, wireless power transfer, and optogenetic brain-computer interfaces, providing support for the company’s continuous technological innovation.

“The combination of a scientist team, a professional management team, and a top-tier scientific advisory board has equipped Active Technology with the systematic capability to continuously translate cutting-edge innovations into reliable clinical products.”

Currently, Zhudong Technology has built a product matrix of brain-computer interfaces (BCIs) in three major categories: motor, visual, and emotional. It is the domestic company with the most comprehensive product line coverage in the field of invasive BCIs.

Among them, the motor brain-computer interface "Tianshu" is designed for patients with motor and language impairments caused by stroke, spinal cord injury, amyotrophic lateral sclerosis (ALS), and other conditions, aiming to help paralyzed patients achieve motor function reconstruction.

In November 2025, the core team at Zhudong Technology obtained China’s first type-test report for a 1024-channel invasive brain-computer interface (BCI) system. As a result, its flagship product, “Tianshu,” became the first 1024-channel invasive BCI system in China to pass type testing, with a channel count comparable to Neuralink’s current product.

“Higher channel counts mean greater brain signal throughput and more refined information decoding capabilities, laying an independent and controllable hardware foundation for high-bandwidth human-computer interaction,” Wu Guojia introduced to VCBeat.

He pointed out that the “Tianshu” product is about to initiate clinical trials with a 1,024-channel system, and the company is expected to become the first in China to conduct clinical trials on a 1,024-channel invasive brain-computer interface.

Looking further into the future, while focusing on serious Class III medical devices to benefit patients, Zhudong Technology will also lay out its strategy in emerging industries such as artificial intelligence and embodied intelligence, which naturally integrate with the upstream and downstream sectors of brain-computer interfaces, thereby benefiting a broader user base.