aiData offers a sophisticated solution for transforming raw driving data into comprehensive annotated datasets essential for training ADAS and autonomous driving systems. This automated data pipeline revolutionizes the traditionally labor-intensive process by implementing automated collection, preparation, and annotation procedures. By reducing the need for manual intervention, aiData vastly accelerates the development of AD-related features, providing teams with high-quality datasets ready for validation and testing.\n\nCentral to aiData's utility is the Auto Annotator, capable of crafting precise 3D bounding boxes for dynamic and static entities like vehicles, pedestrians, and road signs. This tool achieves a remarkable precision and recall rate, greatly curtailing annotation costs and time compared to older, manual methods. The efficiency is further underscored by a significant cost reduction and quick return on investment after minimal use, making it an indispensable component of the data workflow.\n\nBeyond annotation, aiData includes a versioning system that ensures full traceability across data's lifecycle, equipped with AI-powered searches and scenario similarity evaluations to optimize model performance. Moreover, it features automated metrics for the evaluation of algorithms, enhancing software validation processes by leveraging industry-standard metrics and custom KPIs.