thymia documentation

The health and safety intelligence layer for voice

thymia extracts clinically validated health and wellbeing signals from voice — not transcription, not sentiment analysis, but the biological signal contained in sound, made actionable.

Voice sits at the intersection of five major biological systems — respiratory, neurological, cardiovascular, metabolic, and musculoskeletal. Change any one of them, and the voice changes with it. Every voice contains thousands of measurable patterns: subtle variations in pitch, rhythm, pauses, and tone. thymia calls the smallest distinct units neural morphemes™ — the fundamental building blocks of speech that carry meaning beyond words.

thymia’s foundational models identify these neural morphemes™ in real time, then combine them into biomarkers — specific signatures that reliably indicate health and wellbeing states. Just as a doctor recognises symptoms that together suggest a diagnosis, our models recognise morpheme patterns that together reveal emotional, mental, and physiological states. From just 15 seconds of speech, processed in real time.

All capabilities are accessible through a REST API, designed to integrate into any platform or workflow that handles voice.

Choose your integration

thymia integrates into any platform or workflow that handles voice. Whether you are building a remote patient monitoring tool, enriching an existing voice agent, or embedding mental health screening into a clinical pathway, thymia delivers biomarker-grade intelligence from seconds of natural speech.

thymia API

Supply voice recordings directly from your infrastructure. Your backend creates a model run, uploads the recording, and polls for results. Full control over the recording experience and user journey from end to end.

Sentinel

Real-time voice safety and wellbeing monitoring for AI agents. Stream audio and transcripts, run safety policies, and get actionable results — all without storing recordings.

Choose your model

Helios

Wellbeing and safety monitoring

Wellbeing monitoring from live voice. Detects distress, stress, fatigue, low self-esteem, and burnout in real time — across human and voice agent interactions — for healthcare, pharma, and safety-critical industries.

Apollo Clinical

Clinical-grade health detection

Voice-based depression and anxiety assessment covering all DSM-V criteria with disorder-level results and granular symptom scores. Apollo is a regulated medical device intended for qualified healthcare professionals only.