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Encord provides the data foundation for firmwide AI initiatives — bringing data management, curation, annotation, and evaluation into a single platform. This eliminates fragmented infrastructure, reduces engineering overhead, and accelerates time to production.

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Who this is for

Enterprise teams that need to:
  • Deploy AI workflows across large, distributed teams
  • Meet strict security, compliance, and data governance requirements
  • Maintain quality and consistency across annotation workforces
  • Scale data operations without scaling engineering effort

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Key capabilities

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Unified data infrastructure

Consolidate fragmented datasets into a firmwide hub for data ingestion, organization, and access. Connect your existing cloud storage (AWS, GCP, Azure) without moving data, and manage structured, unstructured, and multimodal data in one place.
  • Native integrations with private cloud buckets
  • Metadata filtering, embedding plots, and natural language search
  • Folder-based organization with fine-grained access controls

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Scalable annotation and review

Label and review data at enterprise scale with tools designed for large, distributed annotation teams.
  • Support for video, image, DICOM, document, text, and audio data types
  • AI-assisted labeling with integrations to SAM2, GPT-4o, Gemini, and YOLO
  • Customizable QA workflows with performance analytics at team and individual level
  • RLHF and human-in-the-loop (HITL) workflows up to 3x faster
  • Reported 60–80% reduction in labeling costs on high-complexity use cases

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Workforce and project management

Coordinate annotation workforces and track progress across the organization.
  • Role-based access control (annotators, reviewers, team managers, admins)
  • Task assignment, prioritization, and queue management
  • Audit trails and performance reporting at the annotator, team, and project level
  • No-code workflow builders for creating repeatable annotation pipelines

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Flexible deployment

Choose the deployment model that fits your security and infrastructure requirements:
  • Cloud — Encord-managed, hosted on Google Cloud Platform
  • VPC — Deploy within your own virtual private cloud
  • On-premise / air-gapped — For environments with strict data residency requirements
Data never leaves your own storage. Encord never shares customer data with third parties.

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Security and compliance

Encord is built to meet the requirements of regulated industries and security-conscious organizations.
  • SOC 2 Type II certified
  • HIPAA compliant
  • GDPR compliant
  • Encryption at rest and in transit
  • You always own your labels, data, and models
See Security and Compliance for full details.

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Enterprise support

Encord delivers a white-glove onboarding and support experience:
  • Dedicated customer success managers
  • Technical integration support
  • SLA-backed response times

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Platform architecture

Enterprise deployments are built on Encord’s cloud-native architecture, designed to handle petabytes of multimodal data and large annotation workforces without performance degradation. See Platform Architecture for infrastructure details, including how data flows through the platform, how access is controlled, and how deployments are structured.

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Where to go next

Or jump directly to the Platform documentation if you’re ready to get started.