Stanford grads raise $11M for noninvasive hormone-tracking wearable
Original: Two Stanford grads raise $11M to build a noninvasive wearable for hormone tracking
Why This Matters
Addresses underserved women's health market with hardware innovation combining biosensors and AI for continuous hormonal monitoring.
Stanford graduates Jenny Duan and Abhinav Agarwal launched Clair Health with $11.6M in funding to develop a wearable device that tracks hormones and menstrual cycle phases. The device uses 10 biosensors and AI-powered voice analysis to provide women with health insights on inflammation, energy levels, and cycle irregularities.
Clair Health, founded by Stanford graduates Jenny Duan and Abhinav Agarwal, secured $11.6 million in a funding round led by Khosla Ventures. Other investors include a16z speedrun, Brydge Club, Treehub, Cartan Capital, AGI House, Insiders VC, Anne Wojcicki, and Stephanie Coleman. The startup develops a noninvasive wearable designed to track inflammation, bloating markers, energy levels, and menstrual cycle phases to provide insights into cycle irregularities and perimenopause. Clair Health employs voice-based onboarding to collect user-specific health data and uses proprietary AI trained to analyze voice biomarkers and determine menstrual cycle phases within minutes of conversation. Unlike standard health trackers such as Apple Watch or Pixel Watch that rely on gyroscopes, optical sensors, and temperature sensors, Clair Health's device features 10 biosensors, including a novel biomagnetic sensor for hormonal insights. The device continuously monitors changes through all four menstrual cycle phases rather than relying solely on menstruation onset. Duan explained that existing women's health apps are limited to tracking specific symptoms, whereas Clair Health enables users to communicate their health concerns in their own words. The company aims to support women seeking care for menopause and perimenopause by providing detailed data to healthcare providers, improving clinical decision-making beyond symptom recitation.