Trace AQ was founded on the belief that everyone deserves to know what they're breathing — and that data science can make air quality as forecastable as the weather.
Meet the TeamEvery year, air pollution contributes to millions of premature deaths worldwide. Yet the tools available to public health officials, city planners, and individuals remain fragmented, delayed, and hard to use. Government monitoring networks are sparse. Commercial solutions are expensive. Forecasts are rarely actionable.
Trace AQ was built to change that. We combine atmospheric physics models with machine learning to deliver accurate, hyperlocal air quality forecasts at scale — not just for the cities with sensor networks, but for any location on Earth.
Our platform is used by public health agencies, academic researchers, smart city operators, and developers who believe that clean-air intelligence should be universally accessible.
Every forecast is grounded in atmospheric physics. We don't cut corners on model accuracy — our users make decisions that affect human health, and they deserve the best science available.
Air quality intelligence shouldn't be limited to wealthy cities. Our API is designed to be affordable, scalable, and usable by governments, NGOs, and individual developers alike.
We measure success by public health outcomes, not just API calls. When our forecast data helps a hospital prepare, or a city issue an advisory — that's the metric that matters.
Seed Round Investor
Thin Line Capital
Seed funding round — backing Trace AQ's mission to make air quality intelligence universally accessible. Thin Line Capital focuses on climate tech and data infrastructure startups reshaping how communities interact with environmental risk.