Psyche is building human state models: the interpretive layer between what the body says and what it means. We read the signals a person can't perform, heart rate variability, electrodermal activity, temperature, sleep, and translate them into something an AI system, a clinician, or a coach can act on.

“I'm fine. Just a busy week.” The voice is steady. But heart rate variability has been suppressed for thirty-six hours, electrodermal activity is elevated, and sleep has fragmented three nights running. Two channels, one moment, opposite stories. Psyche reads the divergence and says what it means.

Most affective computing trains on actors and posed expressions, performances of feeling. We work with live, involuntary signals, supervised by validated ground truth instead of self-report, captured from the wearables people already have on. Models commoditize. No model gains a body. The paired dataset connecting signal to human state becomes more valuable as everything else gets smarter.

Psyche is born out of Carnegie Mellon's Human-Computer Interaction Institute. Our co-founder Mayank Goel directs the SMASH Lab there, with a decade of peer-reviewed work in passive sensing of human state. A recent pre-print predicts daily mood from consumer wearable signal alone, at roughly seventy percent accuracy. Our broader agenda is laid out in the thesis.

We are working with design partners and clinical collaborators now. If you believe the body is the signal AI is missing, book a conversation or write to us.