The company Encord is launching Consensus workflows to help ML teams manage their labeling workflows, making it easier for teams to improve model performance by assessing submissions of multiple annotators and simplifying compliance with domain-specific regulatory requirements. Consensus allows annotators to work on the same file in a mutually blind fashion, enabling evaluation of agreement between labels and selection of representative sets. The feature will support image and video modalities initially, with full modality support planned for release soon after. Encord aims to provide higher-quality annotations by simplifying the labeling process and ensuring compliance with regulatory requirements.