Real-time, hyper-local air quality data at 1/1000th the cost via a predictive machine learning based air quality model that uses data from sensors, satellite imagery, pollution data and meteorological data from multiple data sources such as governments across the world to provide pollution insights at > 90% accuracy. This provides it enormous opportunity to penetrate into the pollution data intelligence market.