Encord

Encord is a multimodal AI data platform for annotation, dataset curation, quality control, model evaluation, active learning, and human review across image, video, audio, documents, medical formats, geospatial data, and other modalities. Teams should protect source data, validate labels and metrics, document ontologies, test bias, and retain domain-expert oversight.

Start with authorized, minimal, non-sensitive inputs; configure privacy, retention, permissions, quality, disclosure, export, moderation, security, and spending controls; compare every result with original sources and real requirements; correct errors; and keep an accountable person in control before publication, communication, purchase, automation, deployment, or consequential use.

A Starter tier is available for small prototypes, while Team and Enterprise pricing is sales-led and not published numerically. Data volume, modalities, users, deployments, support, add-ons, security, and contract terms determine cost.

AI output can be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, training, retention, copyright, consent, commercial rights, renewals, refunds, integrations, and professional limits, and require qualified human review for health, employment, legal, finance, education, or other high-impact work.