The startup develops neurotechnology that utilizes magnetic sensing to detect magnetic fields generated by human organs, enabling precise interfacing with the central, peripheral, and autonomic nervous systems. This technology enhances the functionality of human-machine interfaces and supports the development of next-generation wearable and implantable medical devices.
Funding
$2.8M raised to dateRaised 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.
Founders
Product
Problem
Existing human-machine interfaces often suffer from limitations in precision and intuitiveness, hindering seamless interaction with digital environments and wearable devices. Current gesture recognition technologies can be inaccurate, bulky, and uncomfortable, restricting their usability across various applications.
Solution
Neuranics develops advanced magnetic sensing technology based on Tunneling Magnetoresistance (TMR) to create high-precision, low-power solutions for human-machine interfaces. Their core offering includes TMR sensors, custom Application-Specific Integrated Circuits (ASICs), and AI-enabled hardware and software. These components are integrated into devices like wristbands that detect minute magnetic fields generated by muscle activity, enabling accurate gesture recognition and control. Neuranics' technology aims to enhance user experiences in extended reality (XR), wearable devices, and digital health by providing more intuitive and responsive interfaces. The company's solutions offer a compact design, ultra-low power consumption, and high sensitivity, making them suitable for integration into next-generation devices.
Target Audience
Neuranics primarily targets developers and manufacturers in the XR, wearable device, consumer electronics, and digital health sectors seeking to enhance their products with advanced human-machine interface capabilities.
Features
- Patented TMR sensors capable of detecting magnetic fields in the pTesla range
- Custom-designed ASICs to optimize the performance of TMR sensors
- AI-enabled hardware and machine learning software for efficient data processing and edge computing
- Compact and low-power sensors suitable for integration into wearables and other space-constrained devices
- Development kit available for testing and integration of TMR heart monitor technology
- Applications in XR for precise motion tracking and gesture recognition
- Applications in consumer electronics for smartwatches, phones, and fitness wearables
- Applications in health devices for non-invasive health monitoring and prosthetics control