Aeroglyphics
AeroGlyphics.Dev provides a platform that tracks VO₂ max continuously from wearable data and manages it as a clinical vital sign for cardiometabolic disease prevention. The platform uses the Uth-Sørensen-Overgaard-Pedersen formula to estimate VO₂ max from age and resting heart rate, then maps results to mortality risk quintiles from the Mandsager cohort. It enables clinicians and healthcare systems to monitor longitudinal risk curves, with each 1 ml·kg⁻¹·min⁻¹ gain corresponding to approximately 13% lower all-cause mortality.
- Healthcare Technology
- Digital Health
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Cardiorespiratory fitness (VO₂ max) is the strongest modifiable predictor of cardiometabolic death, yet it remains unmanaged as a clinical signal. While major wearables estimate VO₂ max passively, no platform treats it as a continuous, actionable vital sign for disease prevention and management. Standard lab panels measure single organs, missing the integrated whole-system output that fitness represents.
Solution
Aeroglyphics provides a platform that tracks VO₂ max continuously from wearable data and manages it as a clinical signal. The company leverages a validated formula (Uth-Sørensen-Overgaard-Pedersen) requiring only age and resting heart rate to estimate VO₂ max and map it to mortality risk quintiles from the Mandsager cohort. The platform closes the loop by monitoring the longitudinal risk curve and enabling population-scale management of fitness data, with each 1 ml·kg⁻¹·min⁻¹ gain corresponding to ~13% lower all-cause mortality and ~45 additional life-days.
Target Audience
Primary customers are clinicians, cardiologists, and healthcare systems seeking to integrate cardiorespiratory fitness as a vital sign into preventive care and chronic disease management workflows.
Features
- Continuous VO₂ max estimation from passive wearable data (Apple Watch, Garmin, Whoop, Fitbit, Polar, Oura) covering 560M+ devices
- Risk stratification using Mandsager quintile mapping with associated hazard ratios for all-cause mortality
- Longitudinal tracking dashboard showing risk curve movement over time as fitness changes
- Evidence-based benchmarks against FRIEND registry percentiles and AHA guideline alignment
- Browser-based personal ledger demonstrating the platform's tracking methodology at individual scale