Ellipsis Health develops voice-based technologies designed to screen for mental health conditions through analysis of natural speech. The company’s platform uses conversational AI to engage users in spoken interactions that can be analyzed for indicators of psychological state. Its approach focuses on enabling scalable, low-friction mental health assessment outside traditional clinical interviews. Ellipsis Health positions its technology within digital mental health and clinical screening contexts.

The technology analyzes acoustic, linguistic, and temporal features of speech associated with emotional and cognitive states. Empathetic AI voice agents conduct structured conversations, collecting speech data that is processed using machine learning models trained to detect patterns linked to depression and anxiety. This conversational format aims to increase user comfort while generating clinically relevant signals. The system emphasizes passive data collection through natural dialogue rather than questionnaires alone.

Ellipsis Health targets mental health screening and early identification of depression and anxiety across healthcare and population-level settings. The platform is intended to support clinicians, employers, and health systems by enabling rapid, scalable assessment. Its focus on speech as a biomarker reflects growing interest in non-invasive, accessible approaches to mental health evaluation.