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Synaptrix Labs

Synaptrix has developed Neuralis, a non-invasive EEG-based neural interface that enables individuals with paralysis to control their existing wheelchairs using brain activity and eye movements. This technology interprets signals from the visual cortex, providing a practical and affordable solution for enhancing mobility and independence for those with severe neuromuscular conditions.

East New York, United StatesFounded 202310700+ followers
Updated 8 months ago

Funding

$0 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.

MC

Founders

Product

Problem

Individuals with paralysis often face significant mobility challenges, relying on assistance or limited control of traditional wheelchairs. Existing assistive technologies can be invasive, expensive, or require extensive training, hindering widespread adoption and limiting independence.

Solution

Synaptrix's Neuralis is a non-invasive EEG-based neural interface designed to empower individuals with severe neuromuscular conditions by enabling brain-controlled wheelchair operation. The system utilizes a lightweight EEG headset with dry sensors positioned over the visual cortex to capture and interpret brain activity related to intended movements. A cloud-based compute architecture powered by the Saffron-1 AI model translates these signals into real-time wheelchair commands, offering a seamless and intuitive user experience. This technology aims to provide a practical, affordable, and user-friendly solution for enhanced mobility and independence.

Target Audience

The primary target audience includes individuals with paralysis or severe neuromuscular conditions seeking enhanced mobility and independence, as well as rehabilitation centers and healthcare providers specializing in assistive technologies.

Features

  • Non-invasive EEG headset with strategically placed dry sensors targeting the visual cortex
  • Saffron-1 AI model for EEG signal detection, de-noising, and feature extraction
  • Cloud-based compute architecture for rapid translation of movement intentions
  • Real-time wheelchair maneuverability based on interpreted brain activity
  • End-to-end encryption for secure data transmission and storage
  • SDKs and APIs available for third-party integration with Saffron-1
This profile is AI-generated and may contain inaccuracies.