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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Training Computer Vision Models to Track Rented Assets

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Annotating and Reviewing Medical Imaging Data with Encord

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Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling

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Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision

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Overcoming The Mental Torture of Manual Data Labelling

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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

Rapid Annotation & Flexible Ontology for a Sports Tech Startup

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

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Improving Synthetic Data Generation with Encord Active

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Saving the Honey Bees with Computer Vision

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Reducing MRI and CT Annotation Time by 70% for Rapid AI

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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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How Surgical Data Science Collective (SDSC) Conducted Video Annotation 10x Faster

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Teton.ai - Customer Case Study

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Using Computer Vision to Prevent Falls in Care Homes and Hospitals

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

Building Computer Vision Models for Insurance with Tractable

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Accurately Measuring Carbon Content in Forests

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Reducing Model False Positive Rate from 6% to 1% with Vida ID

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Accelerating Diagnosis to Treatment with Encord

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