Encord B2B Case Studies & Customer Successes

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Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in your training data, and train & diagnose models to deliver value from your AI initiatives faster.

Case Studies

Showing 22 Encord Customer Success Stories

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Captur achieves rapid annotation and flexible video ontology building with Encord

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Floy accelerates annotation and model development with Encord

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Floy reduces CT and MRI annotation time with Encord

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Four Growers cuts annotation time by 50% with Encord

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King's College London achieves 6x faster annotation with Encord

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King's College London achieves 6.4x labeling efficiency and 97% automated labels with Encord

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Leading Restaurant Automation Provider achieves 37x faster labeling and 99% annotation accuracy with Encord

a leading sports analytics company achieves 10x faster annotation with Encord

Memorial Sloan Kettering Cancer Center achieves flexible, auditable pulmonary thrombosis labeling with Encord

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Neurolabs improves synthetic data performance with Encord Active

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Pollenize protects honey bees with computer vision using Encord

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RapidAI accelerates sports video annotation and builds flexible ontologies with Encord

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From 37 Annotation Hours to 1 with AI-assisted Labeling

Stanford Medicine achieves an 80% reduction in experiment duration and processes 3× more images with Encord

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Surgical Data Science Collective achieves 10x faster video annotation with Encord

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Teton.ai prevents falls in care homes and hospitals with Encord

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Teton.ai prevents falls in care homes and hospitals with Encord

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Top-3 Human Behaviour Surveillance AI Company achieves 97% automated labeling and GDPR-compliant, high-fidelity behavior dataset with Encord

Tractable improves annotation quality and scales QA with Encord

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Treeconomy boosts carbon credit value with Encord

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Vida reduces false acceptance rate from 6% to 1% with Encord

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Viz.ai accelerates medical condition detection with Encord

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