How's Your Brain Age,
Reading the True Mind
Cognitive Health Solution
Know your cognitive health state with 30-second eye tracking
Beyond the Limits of Conventional Testing
Experience faster, more accurate, and deeper cognitive health analysis.
Surge in Dementia Cases / Rising Social Costs
✓ Over 1 million in Korea
✓ Expected 2 million by 2050
Difficulty in Early Detection
✓ Stigma / Self-denial
✓ Declining co-residence with parents
Growing Care Gap
✓ Rapid rise in family caregiving burden
✓ Critical shortage of care infrastructure
Prevention and early detection at the initial stage are the only alternative to post-onset treatment.
Accessibility · Cost Burden
Hospital visit-based with low accessibility; large-scale screening is difficult due to manpower, time, and cost burdens
30-Second Screening
With just a smartphone, at home, anytime. In 30 seconds, check your cognitive health.
Limits of Answer-Based Evaluation
MMSE · MoCA focus on correct/incorrect, making it difficult to detect early decline signals or subtle cognitive changes
Algorithm-Based Precision Analysis
Eye-tracking data and AI algorithms objectively detect subtle cognitive changes.
Difficulty in Repeated Monitoring
Beyond stigma and self-denial, reliance on expensive equipment or hospital settings makes regular repeated measurement and tracking practically impossible
Regular Daily Monitoring
Regular self-assessments help identify cognitive health changes early and proactively respond.
Mild Cognitive Impairment (MCI) is clinically easy to miss, and early intervention at this stage is key to preventing dementia progression.
Reading the invisible mind as data
Where neuroscience meets AI, objectively analyzing cognitive states through eye movements.
Eye-Tracking Technology
Precisely analyzes gaze movement and position using only smartphone touch and mouse movement, with no special equipment required. Measures cognitive state by combining 5 eye-tracking indicators: gaze path, fixation time distribution, pre-selection hesitation, response speed, and answer patterns.
5-Stage Cognitive Analysis
Classifies cognitive states into 5 stages based on gaze data. Our algorithm analyzes users' eye patterns to objectively reveal their actual cognitive state.
Cognitive Pattern
Cognitive state and accuracy through repeated attempts
Behavioral Data
Gaze ratio, difficulty level, hint usage, etc.
User Analysis
Identifies root causes: not just wrong answers, but why they went wrong
5-Stage Cognitive Classification
Fine-grained distinctions: Confidence / Illusion / Hesitation / Confusion / Disengagement
Metacognitive Score Output
Cognitive Risk Index Output
Not just right or wrong: we precisely measure whether you truly know it.
Why CogniTrack?
CogniTrack's differentiated strengths support better decision-making.
Unmatched Convenience
30-second screening on any device
Precise Data
Scientifically analyzes decision-making processes
Proven Value
Patent valuation of ₩1.6 billion
Scalability
B2B, B2G, B2C multi-channel support
Contact CogniTrack
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