deep learning models trained on field data. These models aim to extend classical simulation by learning from real-world measurements and predicting sound behaviour where physics-only models are limited. SONARQ.AI works on a platform that structures scientific foundations, modelling prototypes and field partnerships for analysing city soundscapes.