Our proprietary ML models are trained on millions of sleep sessions to provide accuracy that rivals traditional hospital-based polysomnography.
A personalized computational model of your unique sleep physiology. By simulating biological responses, we identify disruption patterns before they manifest as chronic issues.
Our algorithms don't just report history—they forecast potential health risks based on subtle shifts in heart rate variability and respiratory patterns.
Proprietary computer vision and sound analysis enable monitoring without wearables, ideal for infants and children who struggle with physical devices.
Children aren't just small adults. Their sleep architecture is fundamentally different. Sleeply is the first platform optimized specifically for pediatric developmental stages.
From infant REM cycles to adolescent circadian shifts, our models provide age-appropriate insights that help parents and pediatricians act earlier.
Investment Opportunity
Concordance with clinical PSG studies
CAGR Growth in Sleep Tech Market