Former GE Executive's AI-Powered Ultrasound Brain-Computer Interface Startup Raises Over $100M in Series Angel Funding

Jun 08, 2026 18:16 CST Updated 18:16

BCI-Sonics

Developer of AI Ultrasound Brain-Computer Interface and Non-Invasive Neuromodulation Therapeutic Devices

Recently, AI ultrasound brain-computer interface companyBCI-Sonics(BCI-Sonics) announced the completion of its angel round financing, amounting to hundreds of millions of RMB.

The angel round of financing was led by Matrix Partners China, and the Angel+ round was led byDelian Capital, co-led by Daoyuan Capital, with the funds raised to be used for advancing the company’s technology validation and industrial implementation.

Former GE Executive Launches Startup: AI + Ultrasound Brain-Computer Interface

BCI-Sonics was founded in 2025.In [year], founder Li Xin, who earned his Ph.D. in Biomedical Engineering through a joint program between the Chinese Academy of Sciences and the Fraunhofer IGD Institute in Germany, previously served asHead of GE Healthcare’s Global Research Center, China Region。

The company is betting on ultrasound-based brain-computer interface (BCI) technology, a hot niche within the current BCI landscape that has attracted Silicon Valley tech figures such as OpenAI founder Sam Altman and Coinbase co-founder Fred Ehrsam to personally launch ventures in this field.

BCI-Sonics’ low-intensity focused ultrasound (tFUS/LIFU) can non-invasively penetrate the skull and reach several centimeters deep into the brain; whereasProprietary transcranial phase correction algorithm converges transcranial focusing accuracy to a minimum of 1.5 mm.

In addition, the company has also developedAI Closed-Loop Neuromodulation Platform, capable of using AI to read and decode neural activity in real time, precisely intervene with low-intensity focused ultrasound, and establish a complete closed loop by leveraging dual-modal monitoring for dynamic calibration of targets and dosages at the millisecond scale.

At this stage, BCI-Sonics isAroundPain, Addiction, and Neural RemodelingJointly design research pathways and validate clinical value in these areas, thereby advancing ultrasound brain-computer interface technology from the development of research prototypes to pre-clinical applications.。

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