- Accelerates the labeling process of unstructured text data with AI-assisted tools - Uses few shot learning to label data with minimal amounts of labeled examples - Leverages state-of-the-art transformer models for high accuracy and shorter labeling time - Provides explainability features to help users understand model performance - Cost-effective, flexible and helps to create high quality data for AI use cases
