Brain-Computer Interfaces & Neurotech
Precision Neuroscience
by Precision Neuroscience Corporation
Minimally invasive Layer 7 cortical interface enabling reversible, high-resolution brain-computer interfacing
Category
Brain-Computer Interfaces & Neurotech
Founded
2021
Headquarters
New York, NY, USA
Overview
Precision Neuroscience has developed the Layer 7 Cortical Interface, an ultra-thin, flexible electrode array that lies on the surface of the brain (electrocorticography, ECoG) rather than penetrating into cortical tissue. The device is a film just 50 microns thick — thinner than a human hair — containing up to 1,024 electrodes. It is implanted through a narrow craniotomy slot, analogous to inserting a piece of paper under the skull, and can be removed and repositioned, making it the first reversible high-density cortical interface. The system wirelessly transmits neural data at high resolution to external decoding hardware. Neurosurgeons currently deploy Layer 7 intraoperatively during epilepsy monitoring procedures, allowing Precision to collect neural data from consenting patients undergoing planned surgery. This real-world data drives refinement of decoding algorithms for motor and speech BCI applications. The company's clinical roadmap targets communication restoration for patients with ALS, spinal cord injury, and brainstem stroke. Precision Neuroscience's reversibility is its core differentiator in a field where permanence is the norm. Because the device can be removed without damage to cortical tissue, it addresses a major patient and clinician concern around permanent implants. Co-founded by former Neuralink scientists, the company combines deep electrode fabrication expertise with a staged regulatory approach — leveraging intraoperative temporary use as a pathway to gather safety and performance data before seeking approval for chronic implants. The company raised $41 million in Series B funding in 2023.
Key Features
High-Density Neural Recording
Capture thousands of neurons simultaneously with ultra-thin electrode arrays and minimal tissue damage.
Real-Time Signal Processing
Millisecond-latency neural signal decoding for brain-to-device communication.
Wireless Neural Implants
Fully wireless implant design eliminates infection risks from percutaneous connectors.
ML Neural Decoders
Machine learning algorithms translate neural activity into device commands with 95%+ accuracy.
Bidirectional Neural Interface
Support for both neural recording and targeted neurostimulation in a single device.
Pros & Cons
Pros
- +High-density neural recording captures thousands of neurons simultaneously with minimal tissue damage
- +Real-time signal processing enables millisecond-latency brain-to-device communication
- +Wireless implant design eliminates infection risks associated with percutaneous connectors
- +Machine learning decoders translate neural activity into device commands with 95%+ accuracy
- +Miniaturized electronics enable chronic implantation with minimal impact on daily activities
- +Bidirectional interfaces support both neural recording and targeted neurostimulation
Cons
- −Signal degradation over time requires recalibration or potential device replacement
- −Limited patient population eligible for current-generation devices restricts market size
- −Invasive implant procedures carry inherent surgical risks including infection and tissue damage
- −Long-term biocompatibility and device longevity remain unproven beyond 5-10 year timeframes
- −Regulatory pathway for novel neural interfaces is complex and evolving
Use Cases
Research Workflow Optimization
AI-powered optimization of research workflows to accelerate discovery timelines and improve reproducibility.
Data Analysis & Insights
Machine learning analysis of complex biological datasets to extract actionable insights and identify patterns.
Collaboration & Knowledge Management
Platform-enabled collaboration across distributed research teams with integrated data sharing and knowledge capture.