Answers backed by science

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 hormone measurements to decode the combined pattern into physiological hormonal insights.
Clair is a full-stack wellness wearable that captures sleep, recovery, daily activity, heart rate, HRV, and performance metrics. Most women juggle three separate workflows to see this picture: a calendar app for cycle, at-home urine sticks for hormones, and fitness wearables for everything else. Clair collapses all three into one app, with the cycle as the primary signal.
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 and train models on paired wearable-and-hormone data to decode what your body is actually telling you.
Clair was validated against at-home urine tests. We are launching several studies including one through the Stanford Gladstone BeeHive Initiative to train and validate our production hardware.
Unlike calendar-based predictions, Clair tracks your actual cycle as it unfolds by monitoring real-time physiological signals.