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Data development platform for annotating and evaluating AI training data
Updated
Encord is a data development platform for AI teams to annotate, curate and evaluate the training data behind computer vision and multimodal models. It covers image, video and multimodal labeling with model-assisted tools.
Teams connect data from cloud storage, curate it to find the most useful samples, then label it with model-assisted tools and review workflows. The resulting datasets are versioned and used to evaluate models. Healthcare and regulated users can use BAAs and clean-room setups, according to third-party coverage.
AI and computer vision teams use Encord, and third-party sources list Woven by Toyota, Skydio, Synthesia, Philips and Cedars-Sinai as customers.
Third-party sources say Encord does not publish dollar prices and offers Starter, Team and Enterprise plans on custom quotes.
Labelbox is a labeling platform with model-assisted tools, SuperAnnotate combines software with annotation services, and Kili Technology supports multi-modal annotation. Encord is distinguished by its curation and evaluation tools alongside annotation.
Pricing Model
QUOTE BASED
Starting Price
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Free Options
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Other
Storage
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Data engine, evaluation and agentic AI platform for enterprises and AI labs
Expert-curated data and evaluation for frontier AI and enterprise agents