Automated driving requires millions of kilometers of real world driving data for training, testing and validating AI-based Advanced Driver-Assistance Systems (ADAS) and Autonomous Driving (AD) features. Creating high-quality recordings, annotation and data curation is a very resource-intensive process and prone to errors due to the extensive manual work involved in the process. By minimizing manual effort and maximizing efficiency, aiData helps teams accelerate the development of ADAS/AD features by transforming raw recordings into fully annotated training and validation-ready datasets - fast, accurate, and effortlessly scalable.