We build cycle tracking platforms with ML-driven ovulation and fertile window prediction that factors in cycle length history, basal body temperature trends, LH surge data, and lifestyle variables including sleep, stress, and activity. Symptom logging captures mood, energy, cramping, flow, and custom user-defined observations across the full cycle. Notifications fire at cycle phase transitions, predicted fertile days, and late period alerts.
Wearable integration via Apple HealthKit, Google Health Connect, and Oura API pulls temperature and heart rate variability data into the prediction model automatically. Users do not need to manually export from their wearable and import into the app.
Built for women's health startups launching a consumer cycle tracking product, fertility-awareness method (FAM) platforms, and reproductive health clinics adding a digital patient engagement layer to their clinical practice.