Active learning platforms sample uncertain or high-value data points for annotation. By prioritizing ambiguous examples, teams label less while training models more effectively. The platform tracks model performance and suggests new data to acquire.
Integration with annotation tools and evaluation dashboards helps monitor progress. Iterating on this loop enables rapid improvement for tasks like classification or extraction.