Actionable air quality data for a healthier urban life
Leveraging the greatest air quality data reservoir in the world, automotive air quality sensors.
AIRLIB creates air quality maps with unprecedented resolution in both time and space.
Traffic pollution varies greatly over short distances. Everyday most of us are exposed to repeated toxic pollution surges in our cars, on our bikes, or as we walk in the city. The effects on our health are devastating.
AIRLIB is a groundbreaking data analytics platform dedicated to urban residents' health. AIRLIB lets us visualize and understand the pollution around us, with unprecedented detail.
Knowing where and when the air quality is bad, is a key step towards breathing better. Airlib tells you when not to go out, and recommends healthier routes so you can reduce your exposure to pollution.
The cost and complexity of sensor deployment had so far restricted air quality maps to mono-city snapshots.
Airlib collects automotive air quality data in high volume with minimal logistics requirements and at a cost that is orders of magnitude lower than other air quality mapping initiatives. The Airlib solution can be easily implemented in any major city.
Airlib is the only air quality mapping solution that can scale worldwide in a sustainable way.
It will decrease exposure to pollution for more than a billion residents of large metropolitan areas.
Based On Real Data
RATHER THAN MODELS
Airlib maps are based on real road level data, and are therefore superior to air quality maps calculated with low resolution data combined with modelling.
Artificial intelligence to help > 1 trillion urban residents breathe better
Large volumes of low-cost data combined with AI is a recipe that worked for making roads safer.
Airlib uses predictive analytics and machine learning to extract essential information from a vast amount of low-cost air quality sensor data.