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Encord

Read 11 Encord reviews and testimonials from customers, explore 22 case studies and customer success stories, and watch customer videos to see why companies chose Encord as their ML Model Validation & Monitoring

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.

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Customer Rating Review Score based on 878 reference ratings
4.8/5.0 (878)

11Testimonials

  • “The platform was so intuitive. It provides a lot of different levels of control and team management. Everyone on the team could label and review images easily, We could also …

    Mathew Elmes Director

  • “I’ve been very impressed with how Encord iterates on the SDK, listens to feedback, and constantly improves the product."

    Jeffrey Siaw VP of Data Science

  • “We went through the process of trying out each platform– uploading a test case and labeling a particular pathology, Encord made it very easy to centrally keep track of annotations, …

    Ryan Mason Neuroradiologist Overseeing Annotations
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22 Case Studies

  • Annotating and Reviewing Medical Imaging Data with Encord

    Hamza Guzel Radiologist

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

    Margaux Masson-Forsythe Director of Machine Learning (ML)

  • Building Computer Vision Models for Insurance with Tractable

    Camilla Gilchrist Head of Operations
21 more case studies currently locked

Additional Encord Information & Resources

Read Encord Reviews, Testimonials & Customer References from 11 real Encord customers.

Browse Encord Case Studies, Customer Success Stories, & Customer References from 22 businesses that use Encord.

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