Monitoring air pollution in urban areas is crucial for safeguarding public health and environmental well-being. The proper integration and visualization of air quality data in extensive urban platforms enabling user interaction are important for gaining valuable insights and making informed decisions about measures to mitigate the problem. This paper proposes an air quality platform, bridging the gap between scientific data and the general audience. It promotes an enhanced understanding and prevention of air pollution. A comprehensive data pipeline is designed to efficiently collect, store, and visualize air quality data in Sofia, Bulgaria. Leveraging open-source technologies like QGIS, MongoDB, Flask, and Cesium Ion, the platform integrates data from 23 air quality stations onto a terrain map and 3D building layer. The paper addresses challenges in data processing, ensuring accuracy, managing high volumes, and effectively communicating complex information. The scalability, transparency, and accessibility of the proposed approach offer significant contributions to environmental monitoring. Additionally, integrating triangulation of measurements enhances the platform’s capabilities, facilitating informed decision-making and supporting sustainable urban development initiatives. The paper concludes with insights into future enhancements, including visualization of CFD simulations of airflow in urban context, promising advancements in understanding urban air quality dynamics.