Mental Health & Stress Detection

Physiological truth for mental health systems.

API middleware that replaces self-report with real-time physiological signals for mental health platforms.

The Problem

Mental health tools rely on self-report in moments of highest distortion.

Digital mental health platforms ask users to describe their physiological state precisely when that state is most likely to distort self-perception. Stress, anxiety, and acute episodes systematically undermine the accuracy of self-reported data.

Signal Detection

Replacing self-report with real-time physiological signals.

Nefesh delivers continuous, real-time physiological state data — derived from heart rate variability, stress scoring — to mental health platforms. Responses can be timed and adapted based on what the body signals, not what the user reports.

The Signal

What people say vs. what bodies show.

Self-report accuracy collapses exactly when it matters most. Nefesh reads the body instead.

Self-Reported

"I'm doing okay, just a bit tired."

Self-reported mood7 / 10

Classified: Moderate — no intervention triggered.

Nefesh Signal

HRV

16ms

Stress Score

83

Physiological stateAcute Stress

Acute Stress detected. Score: 83/100.

Nefesh detects what self-report misses, with no changes to your existing user interface.

Start integrating today.

1,000 API calls free. No credit card. Scale to 50,000 for $25/month.