Fire IdentificationEvolutionModelingSystem

WildFiresUA is Ukraine’s only service that forecasts the evolution of wildfires. We forecast harmful emissions from fires (PM2.5, PM10) for air quality monitoring.

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WildfiresUA Identification Fire
recognition
WildfiresUA Evolution Fire development modeling
WildfiresUA Pollution Emissions and spread assessment

Satellites show where fires are burning now. We show their evolution — 6 to 136 hours ahead.

— Dmytro Grabovets CEO, Co-founder

With support:

Solutions

WildfiresUA Identification — early fire detection from surveillance cameras and satellite hotspots (NASA FIRMS, Copernicus). Automatic filtering of false alarms, instant alerts to responders. The starting point of the pipeline.

Solution description

WildfiresUA Evolution — fire spread forecasting for 6 to 48 hours. Trajectory, speed, intensity, threatened areas. Uses wind modeling, terrain analysis, and fuel maps adapted for Ukraine. No other Ukrainian system does this.

Solution description

WildfiresUA Pollution — smoke plume forecasting and air quality impact assessment. Predicts where and when hazardous concentrations of PM2.5, PM10 will reach populated areas. Critical for evacuation and public health decisions.

Solution description

Our Journey

We started by monitoring air quality for the public. The full-scale invasion and the war shifted our focus—Ukraine needed a forest fire forecast, which didn’t exist. We’re building it.

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.

Case description

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.

Case description Map of NPP

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 YAT-Meteo, a groundbreaking weather research and forecasting product.

Case description

Mobile 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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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.

Case description Gaussian Plume Model

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