Hormones produce measurable physiological effects across your body, continuously. Progesterone raises your body temperature, shifts your heart rate, and alters your sleep architecture. Estrogen modulates cardiovascular tone and heart rate variability. Clair's multi-modal sensor array captures over 130 biomarkers spanning cardiovascular, thermoregulatory, autonomic, electrodermal, and other domains, then uses machine learning models trained against clinical-grade hormone measurements to decode the combined pattern into continuous hormonal insights.

Other wearables are fitness and recovery platforms. Their algorithms treat the hormonal variations in your data as noise to be smoothed over. A woman's HRV dropping 12% in her luteal phase looks like a recovery problem to a fitness algorithm. Clair was built from the ground up to treat female hormonal physiology as the primary signal. We use proprietary sensing modalities, extract 130+ biomarkers, and train models on paired wearable-and-hormone data to decode what your body is actually telling you.

Clair tracks estrogen, progesterone, LH (luteinizing hormone), and FSH (follicle-stimulating hormone). Each produces a distinct multi-system physiological signature that our sensor fusion models are trained to recognize.

Yes. Clair is a full-stack wellness wearable: alongside continuous hormone tracking, it captures sleep, recovery, daily activity, heart rate, HRV, and performance metrics. The same physiological signals that decode hormones are the signals that drive recovery and readiness scores, so Clair generates them as a byproduct.

Today, most women juggle three separate workflows to see this picture: a calendar app for cycle, at-home urine sticks for hormones, and a fitness wearable like Whoop or Oura for everything else. Clair collapses all three into one form factor and one app, with the cycle as the primary signal — not noise to be smoothed over.

Clair was validated against FDA-registered at-home hormone tests for both continuous hormone estimation and cycle phase classification. Our research was presented at the peer-reviewed HHS National Conference on Women's Health, and we are launching an independent clinical trial through the Stanford Gladstone BeeHive Initiative to validate our production hardware. Read more about our science on the blog.

Yes. Unlike calendar-based predictions, Clair tracks your actual cycle as it unfolds by monitoring real-time physiological signals, making it highly accurate for irregular cycles.