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Encord - AI Orchestration and MLOps Tool

Encord

Encord

Founded by Eric Landau

Encord is the AI data platform for physical and multimodal AI. Encord offers data labeling, management, and curation for enterprise teams building production AI.

Cost

Demo

Rating

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Time to value

Moderate Setup (1-3 hours)

You can use Encord to manage, curate, and annotate large datasets for training AI models. It handles petabytes of unstructured multimodal data including images, videos, and text. The platform provides data labeling tools, quality control features, and model evaluation capabilities. You can organize millions of files with full data lineage tracking, integrate AI agents for automated labeling, and validate AI models against your datasets to identify the most valuable training data.

What Encord does

Import and organize millions of unstructured data filesCreate custom annotation workflows for different data typesSet up quality control processes for annotation accuracyMonitor data lineage and track dataset versionsConfigure AI-assisted labeling with human oversightEvaluate model performance against annotated datasetsExport labeled data for model training pipelinesIntegrate with cloud storage and MLOps platformsManages petabytes of unstructured multimodal dataAI-assisted annotation with human-in-the-loop workflowsFull data lineage tracking and traceabilityModel evaluation and validation against datasetsEnterprise-grade security with SOC2 and HIPAA complianceAPI and SDK for workflow integrationCloud storage and MLOps tool integrationsQuality control and annotation accuracy improvements

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Encord, AI data platform, data labeling, data annotation, multimodal AI, machine learning datasets, data curation, model training, computer vision, AI model evaluation, data management, MLOps, annotation tools, data lineage, AI training data