The most scalable way to manage, curate and annotate AI data

See how Encord platform enable teams to efficiently create high-quality dataset for training and fine-tuning AI applications at scale.

Unified platform to curate and annotate petabytes of multimodal AI data

Enterprise-grade security with SOC2, HIPAA, GDPR compliance

API-first integration with your existing ML stack

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Index and curate petabytes of data

Securely manage and organize millions of unstructured files with full visibility and traceability of data lineage.

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40,000 images efficiently curated for Conxai

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25% reduction in dataset size for Automotus

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Generate multimodal labels at scale

Integrate AI agents into your project workflow for advanced model and human-in-the-loop labeling use cases.

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60% faster model deployment for Hudl

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30% more accurate annotations for Pickle Robot

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Align your AI models

Validate AI models against your data to surface, curate, and prioritize the most valuable data for training and fine-tuning.

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20% increase in model performance for Automotus

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90% reduction in data management complexity for Plainsight

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Just Released: The World's Largest Open-Source Multimodal Dataset