Data Labeling & Preparation

Data-labeling and preparation tools turn raw text, images, audio, or records into datasets suitable for training and evaluation.

Annotation quality, review workflows, schema control, workforce management, privacy, lineage, and export formats determine whether the resulting data can be trusted.