# Official Website: Trace AQ

**Type:** source
**Status:** Useful
**Confidence:** Medium
**Source Type:** Official Website
**URL:** https://www.traceaq.com/
**Publisher:** Trace AQ
**Accessed:** 2026-06-19
**Updated:** 2026-06-19

## Summary

Trace AQ's official website markets physics-based AI air quality forecasting and alerts for healthcare and other customers. Products include the Flow AQ mobile app for consumers, the Trace AQ | Aero forecasting platform for researchers and enterprises, and the ADAPT embeddable air-quality widget for websites.

## Useful Claims

- The company positions itself around "physics-based AI" models that decode atmospheric dynamics for air quality forecasting, with emphasis on wildfire smoke tracking and forecasting.
- Flow AQ is described as providing air quality forecasts, real-time conditions, personalized alerts, and health-driven insights in a single mobile app.
- Forecasts can target any location — not limited to fixed sensor placement — with up to four-day advance air quality forecasting.
- Trace AQ | Aero is marketed as a wildfire smoke and air quality forecasting system with plume-rise forecasting, continuous source detection, four-day forecast play-through, and timelapse graphs and map animations.
- The site advertises dual API access for integration and a researcher discount program for Aero.
- The ADAPT widget is offered for embedding live air-quality forecasts on third-party websites to drive engagement.
- Whitepapers are published on topics including degraded air quality impacts on athletic training and the Air Quality Analytics (AQA) physics-based AI forecast engine.
- Primary customer segment highlighted on the homepage is healthcare ("Air Quality Forecasting & Alerts for HEALTHCARE").

## Reliability Notes

This is an official company source. Forecast accuracy, competitive performance, and health-outcome claims on the site are marketing leads, not independent verification. Product availability, API pricing, and clinical or public-health adoption should be confirmed against customer references, peer-reviewed publications, and third-party forecast benchmarks before being used as high-confidence evidence.

## Related Pages

- [Trace AQ](trace-aq.md)