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Encord

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65 reviews
  • 1 profiles
  • 6 categories
Average star rating
4.8
Serving customers since
2020
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Encord Reviews

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Profile Name
Star Rating
60
4
1
0
0
AS
Angela S.
01/30/2026
Validated Reviewer
Verified Current User
Review source: Seller invite

Strong video labeling platform with excellent support

The customer support experience has been great. The team is clearly listening to feedback and actively developing new features based on what customers need. Our customer success manager always comes to meetings prepared with technical examples and walks us through solutions.
Brian E.
BE
Brian E.
Software Engineer at Rhombus
01/15/2026
Validated Reviewer
Verified Current User
Review source: Seller invite

Built for fast model development cycles

We build a lot of infrastructure in-house, but made a strategic decision to use best-in-class tools that Encord offers for training data curation and annotation. The S3 integration works really well - we connected our AWS pipeline and now data just flows where it needs to go. Our team can pull up everything in Encord to review and annotate without any problems. The interface is intuitive and AI features like SAM integration saves us a lot of time. The whole workflow from ingestion to export is smooth, which matters when you move fast. When we do hit issues, their support team is quick to respond through Slack.
EB
Ethan B.
12/30/2025
Validated Reviewer
Verified Current User
Review source: Seller invite

The Right Partner to Accelerate Regulated AI Development

Three things stood out when we chose Encord for our medical imaging AI project. First, the hands-on partnership approach. From the start, we had direct access to Encord's leadership team for honest, down-to-earth conversations about our product goals and technical requirements. Second, Encord understood the complexity of our FDA submission pathway. They set up a multi-stage peer review annotation workflow that provides the traceability and quality controls we need for regulatory approval. When we needed specialized medical image segmentation, Encord's team extended training beyond the initial commitment to ensure annotators understood the clinical nuances our domain experts required. Third, the flexibility as a startup partner. When our development timeline shifted, Encord worked with us to adapt the engagement structure to align with our needs and other constraints.

About

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HQ Location:
San Francisco, US

Social

@encord_team

What is Encord?

Encord is a platform designed to facilitate data-centric computer vision applications by offering tools for collaborative data annotation, model development, and iterative improvement. The platform supports a wide range of data types and formats, providing features like automated labeling, quality assurance workflows, and real-time collaboration to streamline the machine learning pipeline. Encord aims to enhance data-driven insights, helping organizations efficiently build and refine AI models for various applications.

Details

Year Founded
2020
Website
encord.com