The world's first wearable speech-generating device controlled by the brain and eyes.
Cognixion is a pioneer in the neuro-assistive AI space, specifically through its flagship Cognixion ONE platform. The technical architecture fuses non-invasive Electroencephalogram (EEG) sensors with Augmented Reality (AR) to create a closed-loop Brain-Computer Interface (BCI). By 2026, Cognixion has solidified its position as the market leader in high-bandwidth communication for individuals with complex motor and speech disabilities, such as ALS, Cerebral Palsy, and locked-in syndrome. The system utilizes machine learning algorithms to decode neural intent in real-time, mapping brain signals to intentional actions within a spatial computing environment. This allows users to navigate digital interfaces, generate speech through predictive language models, and control external environments without physical movement. Strategically, Cognixion is shifting the paradigm from 'compensatory tools' to 'integrated neural extensions,' leveraging edge computing to minimize latency between thought and execution. Their ecosystem is designed for clinical reliability while maintaining the form factor of consumer-grade AR glasses, making it the primary bridge for neuro-diverse populations to interact with a digital-first world.
Uses 6 dry EEG electrodes to capture P300 and SSVEP potentials for selection within an AR field.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-driven text prediction that uses AR environmental data to suggest relevant phrases.
Algorithms that automatically adjust for sensor shift during wear without needing full recalibration.
Combines IMU head-tracking with EEG data to verify user intent and reduce false positives.
Interactive AR nodes placed over physical objects (e.g., lights) that trigger via brain intent.
Real-time feedback loop showing the user their signal strength and focus metrics.
Integration with high-fidelity synthetic voice engines to preserve user identity.
Loss of motor function prevents use of tablets or eye-trackers.
Registry Updated:2/7/2026
Non-verbal users cannot use voice assistants like Alexa.
Need for objective data on cognitive engagement during rehab.