Ultrahuman and Clue have announced a partnership to integrate menstrual cycle tracking into the Ultrahuman Ring AIR platform, combining biometric data with cycle history for more comprehensive health insights. The integration allows users to import up to six months of period and symptom data from Clue into the Ultrahuman app, where it is analyzed alongside real-time biometrics such as skin temperature, resting heart rate, and heart rate variability.
Cycle Data Meets Biometric Tracking
The collaboration introduces the Cycle & Ovulation PowerPlug, which links Clue’s cycle history with continuous data from the Ring AIR. This connection helps identify menstrual cycle phases, forecast cycle patterns, and show correlations with energy, sleep, and recovery metrics. By syncing information automatically, the integration reduces the need for duplicate manual tracking and gives users a clearer view of how daily biomarkers relate to their cycle.
“This combined view provides women with a broader picture of their health, bringing together cycle patterns and daily biomarkers in one place,” Ultrahuman stated in its announcement. The company says the approach is intended to support smarter lifestyle choices, though it is not a substitute for medical guidance.
Added Features and Benefits
Every new Ring AIR purchase now includes a discounted one-year subscription to Clue Plus, providing access to advanced features such as detailed cycle predictions, hormone insights, and support for pregnancy or perimenopause tracking. Clue, which is a CE-marked Class I medical device with more than 100 million downloads, has been widely used in research and health studies, contributing data to better understand conditions like PCOS and irregular cycles.
Within the Ultrahuman app, users receive a unified interface that maps cycle phases against biometric indicators, offering context for training adjustments, rest needs, and wellness planning. The integration adds to Ultrahuman’s suite of PowerPlugs and reflects a growing focus on women’s health within the wearable technology space.
Future development may include expanding correlations with stress management and refining activity recommendations tailored to cycle phases, building on the current functionality that already connects recovery and daily readiness scores to biometric and cycle data.
Sources: Technowize, T3
–
By Ji-seo Kim
