Mindstrong
Transforming mental healthcare through AI-driven digital phenotyping and passive biomarker tracking.
AI-Powered Eye Tracking for Objective Cognitive Diagnosis and Digital Health
Braingaze is a clinical-grade AI platform that leverages patented eye-tracking technology to provide objective diagnostic support for neurodevelopmental and neurodegenerative disorders. The technical architecture revolves around the analysis of 'microsaccades'—involuntary, microscopic eye movements—which are processed via proprietary machine learning models to detect cognitive markers associated with ADHD, Alzheimer’s, and Dyslexia. By 2026, Braingaze has solidified its position in the market as a primary non-invasive alternative to subjective clinical questionnaires, offering a 90% accuracy rate in differentiating cognitive phenotypes. The system utilizes standard high-frequency infrared sensors or high-resolution webcams to capture data, which is then processed in a secure cloud environment to generate clinical reports within minutes. Its utility extends beyond diagnosis into longitudinal patient monitoring, allowing clinicians to track the efficacy of pharmacological treatments through objective data points. As a CE-marked medical device, it bridges the gap between traditional neurology and modern AI, catering to hospitals, private clinics, and educational institutions globally.
Extracts involuntary eye movement signatures at the sub-millimeter level to identify cognitive dysfunction markers.
Transforming mental healthcare through AI-driven digital phenotyping and passive biomarker tracking.
AI-powered chronic condition management with predictive health insights and precision coaching.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses pupil dilation and gaze stability to measure mental effort in real-time.
Aggregates historical test data to visualize clinical improvement trends over months or years.
Algorithms optimized to run on various high-speed IR sensors and specific HD webcams.
Processes biometric eye data locally or de-identifies it before cloud transmission to ensure HIPAA compliance.
Compares individual results against a global database of over 10,000 clinical cases.
Diagnostic tasks are delivered as simple interactive games to maintain patient engagement.
Subjective bias in teacher/parent questionnaires leads to misdiagnosis.
Registry Updated:2/7/2026
Early-stage dementia is difficult to distinguish from normal aging via standard cognition tests.
Identifying burn-out and cognitive overload in high-stress roles.