MindMark is an API that analyzes patient voice data during telehealth sessions to detect micro-acoustic markers of early psychosis—pitch shifts, tremors, and speech pattern changes—before clinical observation catches them. It builds individual baseline models for each patient to improve accuracy and reduce false positives over time.

• Early schizophrenia diagnosis currently lags months or years behind symptom onset; voice biomarkers can detect risk indicators from brief audio samples before behavioral changes become obvious in standard clinical interviews.
• MindMark monetizes through per-minute API usage ($0.15/min), tiered SaaS subscriptions ($499–$2,499/month), and custom calibration fees, targeting EHR and telehealth platforms that already record patient audio.
• The competitive advantage relies on longitudinal acoustic baselines—comparing each patient's voice to their own historical patterns rather than population averages—which increases accuracy and creates switching costs once integrated into routine care.