Air quality 
Monitoring Verification Modeling
System

YourAirTest is a social impact-driven startup that leverages scientific methods and artificial intelligence (AI) to predict harmful emissions from factories and wildfires, such as PM2.5, PM10, O3, NO2, SO2, and CO. The system models these emissions and provides tools for air quality monitoring and decision-making.

Partners:

Learn more about our other projects:

AI YAT-Meteo Weather forecasting
WildFiresUA Modeling emissions from fires
MonAir IN/OUT Air quality monitoring station

Clean Air, like Google Search, may seem cost-free, but it still has hidden cost

— Dmytro Grabovets CEO, Co-founder

Cases

Air quality monitoring
ecosystem

Air pollution is a pressing issue that profoundly impacts both human health and the environment. In 2020 alone, air pollution contributed to the premature deaths of approximately 7 million people worldwide.

In response to this critical challenge, a dedicated team of scientists, ecologists, developers, and students came together to create the YourAirTest air quality monitoring ecosystem.

WildFiresUA is a system that uses (AI) to detect forest fires, analyze their development, and model the emissions emitted

Prediction of fire evolution and dispersion of hazardous by-products such as PM2.5 and PM10 particulate matter, as well as gases such as O3 (ozone), NO2 (nitrogen dioxide), SO2 (sulfur dioxide), and CO (carbon monoxide).

Predictive
Modeling

For NPP Accident Scenarios

In a world where preparedness is paramount, YourAiTest has taken on the task of predicting and assessing the impact of potential accidents at 5 nuclear power plants in Ukraine.

AI YAT-Meteo

Meteorological research and weather forecasting

In the realm of weather forecasting and atmospheric research, precision and innovation are paramount. This case study delves into the development and implementation of AI YAT-Meteo, a groundbreaking weather research and forecasting product.

MonAir IN / OUT

Outdoor and indoor air quality monitoring station

Air pollution is a pressing global issue with far-reaching consequences for both human health and the environment.

Shockingly, according to the World Health Organization (WHO), air pollution contributed to approximately 7.8 million deaths worldwide in 2021, accounting for roughly 9% of all fatalities.

Soon...

Automatic Gaussian Plume Model (AGPM)

Environmental science students often face the challenge of using air pollution modeling before they have any programming skills. That's where YourAirTest, our science-driven startup, steps in with a solution tailored for universities - the YAT Gaussian Plume Model.

Mobile YourAirTest App

Monitor air quality 24/7

Increasingly, people are seeking ways to protect themselves and their loved ones from the harmful effects of airborne pollutants. This is where YourAirTest steps in, harnessing the power of machine learning to provide precise data on six key pollutants: PM2.5 and PM10 particulate matter, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO).

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