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Sahha

API to predict user mental health status passively

Our first API predicts and detects depression with over 80% accuracy. It’s passive meaning the detection happens automatically, without involvement from a person. It used to be that if you wanted to know how a user was feeling, you’d need to resort to surveys and questionnaires to get an assessment. This approach is subject to both a self-reporting bias and response attrition; in other words, survey fatigue. Our solution can be integrated into any app, and works in the background without any input from the user. This technology allows our customers to understand how their users feel at scale, and build solutions around that. By understanding how users feel without having to ask question, companies can delivery value more personally to users without interruptions.