Sensia API transforms raw physiological signals from consumer wearables (including PPG, ECG, HRV, EDA, and IMU) into human state metrics such as cognitive load, emotional valence, arousal, and stress levels.

Built on validated signal processing pipelines and machine learning models, our API abstracts away the complexity of biosignal analysis and delivers a continuous and passive neurophysiological data layer.

In its clinical vertical, Sensia is built for decentralized clinical trials and remote patient monitoring, enabling passive, continuous neurophysiological tracking without burdening participants with active tasks, reducing dropout risk in long-duration studies. Sensia also provides a clinical dashboard that translates raw API outputs into interpretable risk scores and trend indicators for clinical teams.


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