We are Airly. We monitor and inform millions of people about the current state of air quality.
We gather the most accurate real-time trustworthy data about the air pollution in your area. We track not only the PM level but also the levels of NO2, O3, SO2 and CO gases. Our goal is to deliver the most precise, real-time data about the air quality near you.
Airly provides complex, real-time and historical data about the air quality in your area. Our API gives all interested parties free access to air quality data, allowing them to create applications and scientific papers based on the best data on air pollution.
Since the beginning of our project we have been working on the first accurate world smog forecast based on a neutral network. Our dream is using the forecast you will plan your day so as not to expose yourself to smog.
Our sensors give you rich and trustworthy data insights about pollution in your area. We educate, raise awareness and encourage you to take effective actions to locate the sources of air pollution around you, and with concerted efforts how to eliminate smog in the future.
Designed and built in the European Union, the Airly sensor is an easy to assemble device to measure the air quality in your immediate surroundings. Airly sensors measure the concentration of PM1, PM2.5, PM10 and NO2 and O3 gases in real time. We supervise the installation process and the calibration with state station and continuous verification of the results. That’s the way to guarantee the presented information is reliable.
On map.airly.eu, as well as on applications for Android and iOS, you can check the quality of the air you are currently breathing in over 2500 locations where our sensors are installed. Here you can also check data from state stations all across the world. From now on, all the most important air quality information can be in one place.
Our API gives all interested parties free access to air quality data, allowing them to create applications and scientific papers based on the best data on air pollution. Since the beginning of our activity, we have been working on the world’s first smog forecast based on neural networks.