Air pollution is the single biggest environmental health threat today, killing 7 million people and costing the world economy 5 trillion USD per year. Air quality data can only come from a limited supply of measurement stations, which are bulky, limited in scope and usually unable to transmit data in real time. Extracting insights from these public data sources is challenging due to the high cost of equipment, inability to analyse data among stakeholders and limited context on data interpretation.


Breeze Technologies deploys its own low-cost air quality sensors that detect all common air pollutants. Sensors gather air quality data in real time and send it to Microsoft Azure where AI and trained machine learning algorithms generate hyperlocal air quality maps. Using cloud calibration technology, the sensors recalibrate every 30 seconds to produce highly accurate data. Using the localised maps, air quality challenges are then matched with a catalogue of more than 3,500 clean air actions. AI recommends the most efficient interventions, potentially raising the effectiveness of clean air action plans tenfold.

How Breeze Technologies uses Azure

Rainbow over a mountain range.

Breeze helps understand and improve air quality

Breeze Technologies air sensor device attached to a brick wall.