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Gestala Raises 150M CNY for Ultrasound BCI

Gestala Raises 150M CNY for Ultrasound BCI
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#bci#neurotech#funding#ultrasoundgestala-ultrasound-bci

💡China's $21M-funded ultrasound BCI challenges Neuralink with non-invasive deep-brain tech (AI team aboard)

⚡ 30-Second TL;DR

What Changed

Raised 150M CNY angel round from Guo Sheng Capital, Dao Tong, Qingsong Capital, Gobi VC, and others

Why It Matters

This funding boosts non-invasive BCI development in China, leveraging clinical resources and manufacturing to compete globally. It could accelerate treatments for pain, depression, and neurodegeneration, expanding AI-neurotech applications.

What To Do Next

Evaluate ultrasound neuromodulation APIs from similar neurotech firms for AI-driven BCI prototypes.

Who should care:Researchers & Academics

🧠 Deep Insight

Web-grounded analysis with 6 cited sources.

🔑 Enhanced Key Takeaways

  • Gestala (Gestalt Chengdu Technology Co., Ltd.) was officially established on an early 2026 date in Chengdu High-Tech Zone’s Tianfu International Bio City, with additional operations in Shanghai's Brain Intelligence World BCI industrial cluster[3].
  • Co-founder Phoenix Peng (also called Peng Lei) previously served as co-founder and CEO of NeuroXess (formerly BrainTiger), a developer of invasive BCI implants, before leaving to pursue ultrasound technology[1][3][5].
  • Early clinical trials of Gestala's ultrasound device showed a single session reduced chronic pain scores by 50%, with effects lasting one to two weeks; first-generation clinic-based product rollout expected by Q3 2026[5].
  • Gestala plans to develop a second-generation wearable home helmet after the initial stationary clinic system, expanding applications to depression, stroke recovery, Alzheimer's, and sleep disorders[1][4].
📊 Competitor Analysis▸ Show
FeatureGestalaNeuralinkMerge Labs
InvasivenessNon-invasive (ultrasound)Invasive (implants/threads)Non-invasive (ultrasound)
Brain Access DepthWhole-brain potentialLimited areas (e.g., motor cortex)Whole-brain potential
Primary TargetsChronic pain, depression, strokeMotor control, paralysisChronic pain, depression
Clinical StatusEarly trials (50% pain reduction, 1-2 weeks effect)[5]Human implants/trialsEarly stage (OpenAI-backed)[1]
ChallengesSkull interference, signal reading[1][2]Surgery risksTechnical hurdles unsolved[1]

🛠️ Technical Deep Dive

  • Uses focused ultrasound (high-frequency sound waves) to modulate neural activity by targeting regions like the anterior cingulate cortex for chronic pain relief, with effects lasting up to one week in pilot studies[4].
  • Aims for whole-brain signal reading via detecting blood flow changes (functional ultrasound imaging), contrasting with electrode-based systems limited to specific areas[1][2][5].
  • First-generation device is a stationary clinic system; future wearable helmet for home use planned[1][4].
  • Leverages established focused ultrasound approvals for Parkinson's and tumors as clinical foundation, but brain signal interpretation remains a major engineering challenge[2][4].

🔮 Future ImplicationsAI analysis grounded in cited sources

Gestala's ultrasound BCI could achieve commercial scalability over invasive alternatives by 2027.
Noninvasive design addresses patient adoption barriers and surgery risks, targeting high-prevalence conditions like chronic pain and depression with promising early trial results[1][5].
Ultrasound BCI will enable closed-loop systems for real-time brain state detection by 2028.
Technology detects brain activity patterns via blood flow for conditions like pain or depression, allowing targeted stimulation responses beyond current stimulation-only capabilities[2][4].

Timeline

2025-12
Phoenix Peng leaves NeuroXess to cofound Gestala with Tianqiao Chen
2026-01
Gestala officially established as Gestalt (Chengdu) Technology Co., Ltd. in Chengdu
2026-01
Gestala launches publicly, announcing ultrasound BCI focus
2026-02
Early clinical trials demonstrate 50% pain reduction in single sessions
2026-03
Secures 150M CNY angel funding led by Guo Sheng Capital
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Original source: 36氪