The IntelliAQ Grant project was active from October 2018 to September 2023 and aimed to explore novel deep learning methods for the analysis of air quality data. An important part of the project was the development of a suitable data infrastructure to make global air quality data easier accessible for machine learning tasks. For this, we teamed up with the international Tropospheric Ozone Assessment Report (TOAR) initiative. Five successful years ended with the following results: intelliaq.eu