SaHera provides a mobile application powered by on‑device AI together with an ear acupressure device to help women track menstrual cycle, sleep, activity, body temperature, and heart rate, offering personalized support for perimenopausal symptoms such as mood swings, hot flashes, and sleep disturbances.
Funding
Funding not disclosed
Founders
Product
Problem
Women undergoing perimenopause often experience a range of symptoms—including mood swings, hot flashes, sleep disturbances, irregular periods, and musculoskeletal pain—without a convenient way to monitor physiological changes or receive personalized support.
Solution
SaHera offers a mobile application that runs on‑device AI to continuously track menstrual cycle data, sleep patterns, activity levels, body temperature, and heart rate. The app pairs with an ear acupressure device that delivers non‑invasive stimulation aimed at alleviating perimenopausal symptoms. Collected data are processed locally to generate individualized insights and recommendations, enabling women to anticipate symptom flare‑ups and adopt evidence‑based coping strategies. The solution is built on scientific validation, with a prototype of 300 devices and feedback from a focus group of over 100 women informing its design.
Target Audience
Primary users are women in the perimenopausal age range seeking a data‑driven, non‑invasive approach to manage symptoms, as well as healthcare providers looking for tools to support patient self‑monitoring.
Features
- On‑device AI analyzes real‑time biometric data (temperature, heart rate, activity) without requiring cloud connectivity
- Integrated ear acupressure hardware provides targeted, non‑pharmacological symptom relief
- Continuous monitoring of menstrual cycle, sleep quality, and activity to detect patterns linked to perimenopausal changes
- Personalized feedback and actionable recommendations generated within the app
- Scientific validation reports and ongoing clinical validation underpin the algorithmic models