MegaSense models simulate transformation of pollutants and greenhouse gases in the atmosphere. Generating high resolution forecasting and insights at street and single building level. Making it easy for users to interpret and act upon the air quality and climate change information. MegaSense cloud installations make it ready for global deployments.

Integrated Data Fusion

Computational models to simulate and analyse the dispersion, transport, and chemical transformation of pollutants in the atmosphere

Adaptive and self learning

Hyper-Local forecasting providing insights at street and single building level. AI and ML techniques to continuously improve the forecasting model

Accurate predictions

Integration with IoT and sensor networks: dynamic data collection making it easier for users to interpret and act upon the air quality information.