Gestala: $21 Million Raised For Ultrasound Brain-Computer Interface Technology

By Amit Chowdhry ● Today at 1:34 AM

Gestala, a China-based brain–computer interface startup, announced that it has secured CN¥150 million (about $21 million) in angel funding, marking what the company describes as the largest angel round in China’s brain-computer interface sector.

The financing round was co-led by Guosheng Capital and Dalton Venture, with participation from Tsing Song Capital, Gobi Partners, Fourier Intelligence, Liepin, and Seas Capital. China Renaissance served as the exclusive financial advisor for the transaction.

The company is developing next-generation brain–computer interface technology based on ultrasound, a non-invasive approach that aims to enable interaction with neural activity without the need for implanted devices. Gestala’s platform is focused on advancing research and clinical development in neurotechnology, with potential applications in medical treatments and neurological research.

According to the company, the proceeds from the angel round will primarily support research and development of its flagship product and the execution of pivotal clinical trials. The funding will also help accelerate the development of Gestala’s ultrasound-based brain–computer interface platform.

Gestala was founded by Phoenix Peng, a serial entrepreneur and neuroscientist who previously co-founded NeuroXess and held leadership roles at technology companies in China. The startup is focused on building a new generation of brain–computer interfaces that read and interact with neural signals using ultrasound-based systems.

The funding comes amid increasing global investment in brain–computer interface technologies, as companies and research institutions explore new methods for enabling direct communication between the human brain and external devices. Gestala says its approach aims to advance the development of scalable and non-invasive neurotechnology systems that could expand the possibilities of neuroscience and AI research.

 

 

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