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> For a complete documentation index, see https://docs.thymia.ai/helios/llms.txt.
> For full documentation content, see https://docs.thymia.ai/helios/llms-full.txt.
# Helios
Helios is thymia's mental wellness model. From just 15 seconds of
natural speech, Helios analyses **neural morphemes™** to produce
clinical-grade biomarker scores across six dimensions of mental and
physical state — in real time, on any device that captures audio.
Designed for continuous monitoring outside of clinical settings, Helios
applies the same foundational voice biomarker science as Apollo, framed
for operational and wellbeing contexts. It is currently deployed across
healthcare providers, pharmaceutical companies, and safety-critical
industries including transport, logistics, and first response.
Helios is a wellness monitoring tool and is not a regulated medical
device. It is not intended for clinical diagnosis or to replace
clinical judgement. For clinical assessment of depression and anxiety,
see [Apollo](/apollo/overview).
## What Helios measures
Helios returns scores across six biomarker dimensions. Each score
reflects a distinct aspect of the user's mental and physical state at
the time of recording:
| Biomarker | Description |
| ----------------- | ------------------------------------------------------------------------------- |
| `mentalStrain` | Overall measure of mental wellness — the composite signal across all dimensions |
| `distress` | Levels of worry, nervousness or feeling on edge |
| `stress` | How anxious or wound up the user may feel; ability to relax |
| `exhaustion` | Physical and mental tiredness resulting from manual or cognitive labour |
| `sleepPropensity` | Likelihood of falling asleep if given the opportunity; linked to sleep quality |
| `lowSelfEsteem` | How confident and capable the user feels in themselves |
Each score is returned in two forms — a bucketed value and a continuous
value. See [Interpreting Results](/helios/interpreting-results) for
a full explanation.
## Use cases
Helios is architecture-agnostic and integrates into any platform or
workflow that handles voice. Common use cases include:
| Industry | Application |
| ------------------- | ------------------------------------------------------------------------------ |
| **Safety-critical** | Real-time fatigue and impairment monitoring for drivers, pilots, and operators |
| **Healthcare** | Continuous wellness monitoring for patients between appointments |
| **Pharmaceutical** | Longitudinal wellbeing tracking across clinical trial participants |
| **Contact centres** | Operator wellness and burnout detection during live interactions |
## Explore Helios
### Quickstart
Make your first Helios API call and retrieve biomarker results in
minutes.
### Integration Guide
Step-by-step guide to building a complete Helios integration,
including recording upload, polling, and error handling.
### Interpreting Results
Understand bucketed and continuous scores, benchmarking, and how
to present results to users.
### Error Reference
Full reference for Helios error codes and recommended handling.
***
