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The 87% Gap in Patient Safety
- ICU patients go 2-4 hours between consciousness assessments — 87-94% of the time, no one is watching
- 60,000+ patients/year experience undetected consciousness changes leading to preventable harm
- 85-99% of bedside alarms are false positives — alarm fatigue kills
- Each preventable ICU complication costs $15,000-$50,000
Continuous AI-Powered Consciousness Monitoring
Monitor continuously
Not every 2-4 hours, but every second
Score consciousness in real-time
RASS, GCS, LOC classification
Predict deterioration
30-60 minute early warning before clinical decline
Eliminate false alarms
AI-validated alerts with clinical context
Ensure fairness
Validated across all demographics, built-in bias detection
Non-Invasive Architecture
No wires. No electrodes. No contact with the patient.
How It Works
Camera captures facial micro-expressions — 41 Action Units analyzed in real-time.
Spiking Neural Network processes patterns — mimics how biological neurons encode consciousness.
Dual-Head AI scores and predicts — Head 1: current state, Head 2: trajectory forecasting.
Clinician receives validated alerts — graded urgency, clinical context, recommended actions.
615,000+
Neural network parameters
48,000+
Lines of production code
1,050+
Automated tests
10
Clinical deployment modes
50+
Patent-pending inventions
Get in touch.
A $5 Billion Opportunity
Total Addressable Market: $5B
Serviceable Market: $1.2B
Initial Target: $150M (US Level I Trauma + Teaching ICUs)
Business Model
- $15,000 per bedside unit (hardware)
- $3,000/bed/year subscription (software + updates)
- 5-year customer lifetime value: $375,000 per 5-bed deployment