Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, DICOM, and LiDAR / 3D point cloud files on one unified platform while benefiting from AI-assisted speed and accuracy with human-in-the-loop workflows. Enrich petabytes of raw unstructured data into high-fidelity data for training, fine-tuning, and aligning AI models quickly and at scale. Curate— A single point of secure access for all your local and cloud data. Use our SDKs, APIs, and direct integrations with cloud providers to unify multimodal data from all local and cloud storage into one platform for in-depth data management, embedding-based data visualization, search, and granular curation. Annotate— Simplify and accelerate fine-grained labeling of multimodal data with native integration of SAM2 and SOTA models with HITL, project-specific granular ontologies, and customized workflows, and manage large-scale annotation teams with advanced analytics and insights. Evaluate—Validate and improve model predictions against ground-truth data to surface, curate, and prioritize the most valuable data for supercharged performance through model training and fine-tuning. Actively assess label quality at scale to improve model performance with high-quality datasets. Encord is trusted by pioneering AI teams at Synthesia, Captions AI, Tractable, Stanford Medicine, Flock Safety, Protex AI, Zoopla, Philips, and many more global companies. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.