Encord
Encord is a comprehensive data development platform for computer vision and multimodal AI teams, offering tools for data management, annotation, and model evaluation to streamline ML workflows.
https://encord.com/
Product Information
Updated:May 16, 2025
Encord Monthly Traffic Trends
Encord saw a 208K visits with a 1.4% increase in traffic, reflecting a 2,983 visit growth. Despite the recent $30M Series B funding and various product updates, the growth remains modest, possibly due to ongoing market competition.
What is Encord
Encord is the leading data development platform designed specifically for computer vision and multimodal AI teams. It provides a complete suite of tools to intelligently manage, clean, curate, and annotate data, as well as evaluate model performance. Trusted by pioneering AI teams, Encord aims to unlock the potential of AI for organizations by streamlining data-centric AI pipelines to build better models and deploy high-quality production AI faster.
Key Features of Encord
Encord is a comprehensive data development platform for computer vision and multimodal AI teams. It offers tools for data management, annotation, curation, model evaluation, and workflow optimization. The platform supports various data types, provides automated labeling features, customizable workflows, and integrates with existing toolstacks. Encord aims to streamline the entire machine learning pipeline from data preparation to model deployment.
Automated Labeling: Leverages state-of-the-art foundational models to accelerate labeling projects and build high-quality training data faster.
Customizable Workflows: Offers fully customizable workflows and expert review processes to integrate humans-in-the-loop seamlessly.
Model Evaluation and Troubleshooting: Provides tools to monitor, evaluate, and troubleshoot models, identifying edge cases and conducting robustness tests.
Data Management and Curation: Supports various data formats and offers advanced filtering options to curate effective datasets for model training.
Integration Capabilities: Seamlessly integrates with secure cloud storage, MLOps tools, and existing workflows through APIs and SDKs.
Use Cases of Encord
Medical Imaging Analysis: Enables efficient annotation and analysis of medical images like DICOM files, supporting healthcare AI applications.
Autonomous Vehicle Development: Facilitates labeling and analysis of video data for training and improving self-driving car algorithms.
Quality Control in Manufacturing: Supports development of computer vision models for detecting defects and ensuring product quality in industrial settings.
Satellite Imagery Analysis: Aids in labeling and processing geospatial data for environmental monitoring, urban planning, and agriculture applications.
Pros
Comprehensive platform covering the entire ML pipeline
Supports a wide range of data types and annotation needs
Offers advanced automation and customization features
Strong focus on security and compliance (SOC2, HIPAA, GDPR compliant)
Cons
May have a steeper learning curve due to its comprehensive nature
Potential for higher costs compared to more specialized tools
Some features like document annotation are still in development
How to Use Encord
Sign up for an Encord account: Go to the Encord website and create an account to get started with the platform.
Import your data: Upload your images, videos, or medical imagery to Encord's Index component, or connect your cloud storage.
Create a project: Set up a new project in Encord Annotate and define your labeling ontology.
Set up labeling workflows: Create custom labeling workflows in Annotate to streamline your annotation process.
Label your data: Use Encord's annotation tools to label your data, leveraging features like automated labeling and interpolation.
Review and manage annotations: Use Encord's review features to ensure annotation quality and manage your labeling team.
Analyze data quality: Use Encord Active to identify issues in your data and labels, such as edge cases or errors.
Evaluate model performance: Use Active to assess your model's performance and uncover failure modes or blind spots.
Refine your dataset: Based on insights from Active, refine your dataset by fixing errors or collecting more targeted data.
Export data for model training: Export your curated and labeled dataset to use for training or fine-tuning your AI models.
Encord FAQs
Encord is a comprehensive data development platform for computer vision and multimodal AI teams. It offers tools for data management, annotation, model evaluation, and workflow optimization to help build better AI models faster.
Analytics of Encord Website
Encord Traffic & Rankings
208.4K
Monthly Visits
#140872
Global Rank
#99
Category Rank
Traffic Trends: May 2024-Apr 2025
Encord User Insights
00:04:18
Avg. Visit Duration
5.54
Pages Per Visit
47.63%
User Bounce Rate
Top Regions of Encord
US: 16.3%
IN: 10.33%
PH: 8.39%
BD: 7.17%
CH: 4.87%
Others: 52.95%
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