Creative Strategist
Blackrock Neurotech
Blackrock Neurotech develops implantable brain-computer interface (BCI) technology that enables individuals with neurological disorders to regain movement and communication capabilities. Their MoveAgain BCI system, which has been used for over 30,000 days in clinical settings, provides patients with greater independence by allowing them to control devices through thought.
- Artificial Intelligence
- Biotechnology
- Hardware
- Healthcare Technology
- Medical Devices
- Robotics
Updated 4 months ago
Funding
Raised to date
$210MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
PTRMSIT+1$200M · Strategic
Announced Apr 2024 · from article date
Disclosed cumulative: $210M
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
Individuals with neurological disorders often experience a loss of movement and communication capabilities, significantly impacting their independence and quality of life. Current assistive technologies may not fully restore natural motor functions or provide intuitive communication methods.
Solution
Blackrock Neurotech develops implantable brain-computer interface (BCI) technology designed to restore movement and communication for individuals with neurological disorders. Their MoveAgain BCI system allows patients to control external devices, such as computers or robotic arms, through thought. The BCI system translates neural signals into actionable commands, enabling users to regain independence in daily activities. The company's neurotechnology platform aims to improve patients' lives by providing a direct interface between the brain and external devices.
Target Audience
The primary target audience includes individuals with paralysis and other severe neurological disorders, as well as clinical researchers and institutions focused on neurotechnology and brain-computer interfaces.
Features
- Implantable microelectrode arrays for high-resolution neural signal recording
- Wireless data transmission from the implant to an external processing unit
- Real-time decoding algorithms that translate neural activity into device control commands
- Machine learning models that adapt to individual user's neural patterns for optimized performance
- Compatibility with a range of assistive devices, including computers, robotic arms, and communication interfaces
- Biocompatible materials and advanced surgical techniques for safe and long-term implantation