Axion Labs is developing Axion Click, a non-invasive neural headband that lets people with motor impairments control digital devices using only their eye movements and brain signals. The device combines precise eye-tracking with EEG-based neural signal detection and AI processing to translate natural intent into actions without surgery. Currently in pilots with rehabilitation hospitals, Axion aims to replace outdated assistive tools like sip-and-puff controllers with a more intuitive, hands-free interface.
Funding
Funding not disclosed
Founders
Product
Problem
70% of assistive technologies are abandoned, often because they are slow, frustrating, and exhausting to use. People with motor impairments depend on outdated tools like sip-and-puff controllers or head switches, struggling for minutes to perform simple digital actions that should take seconds.
Solution
Axion Click is a neural headband that turns brain signals and eye movements into seamless digital interactions, eliminating the need for invasive surgery. The device detects subtle eye movements and EEG patterns that indicate a user's natural intention to interact, then uses proprietary AI signal processing to map those signals to actions on a screen. It captures the same neural signal that previously required surgical implantation, but works entirely from the surface. The headband allows users to navigate, communicate, and connect using only thought and gaze, restoring agency and independence. Axion is currently collaborating with top rehabilitation hospitals to validate the technology through real-world pilots.
Target Audience
Primary customers include people with motor impairments who need alternative computer control, as well as rehabilitation hospitals and clinics seeking modern assistive technology for their patients. Researchers and developers in accessibility, neuroscience, and control systems are also key stakeholders.
Features
- Non-invasive headband that captures EEG signals and eye movements without surgery
- Precise eye-tracking technology that detects where the user is looking on screen and identifies interactive elements
- AI signal processing that fuses eye-tracking with neural signals to decode intent
- Advanced signal decoding algorithms that map subtle brain activity and gaze patterns to digital actions
- Lightweight, comfortable design developed with focus on safety and user dignity
- Currently in development and validated through pilots with leading rehabilitation centers