The Platform toBuild Labeling and RLHF WorkflowsMonitor & Evaluate Model PerformanceCurate Visual DataFind & Fix Data Errors
Encord is the data platform for all computer vision teams. Streamline annotation & RLHF workflows, observe & evaluate models, and manage & curate data to get to production AI faster.
Trusted by pioneering AI teams
Manage and explore your visual data.
Build high quality training datasets faster.
Monitor and validate model performance.
The Complete Data Engine for AI Model Development
Achieve peak model performance with the best data. Encord Data Engine helps you validate and debug your models, create training & validation data, and fine-tune foundation models.
Built to scale your annotation workflows
Create high-quality training data with Encord’s AI-assisted annotation tools. Collaborate seamlessly in our easy-to-use platform to deploy models faster.Get started
Supporting your annotation needs
Efficiently label any computer vision modality across image, video, medical imagery, or geospatial data and choose from a variety of tools to meet your annotation needs.
Keypoint Skeleton Pose
Create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.
Master complexity with ontologies
We offer the industry’s most advanced labeling ontologies enabling you to create as many nested classifications to support your labeling operations and help you create better ground truth data.
Label 10x faster with automated labeling
Effectively train deep learning and fine-tune foundation models with a handful of labels to automate annotation without compromising on label quality.
In-depth performance analytics
Uncover data-driven insights on label quality and annotator performance, to optimize workforce efficiency and ensure model excellence.
Supporting your data types
Encord natively and extensively supports image, video, tiled geospatial, and medical imagery with DICOM and NIfTI.
Data-driven insights to power model performance
Avoid labeling errors, improve annotation quality, and diagnose model issues quicker with our built-in active learning platform to build better models, faster.Get started
Boost data quality for your model
Easily uncover outliers and edge cases in your data with quality metrics to evaluate model performance.Learn more
Visualize high-confidence false-positives
Use existing models and custom embeddings to surface potential label errors and correct them to improve your data quality.
Active Learning Workflows
Setup automated active learning pipelines
Close the loop between your models, uncurated data and your annotation platform and target your data curation towards high-impact samples.
Model Performance Metrics
Understand model performance
Encord supports evaluation in object detection, classification, and segmentation for key model metrics such as F1, IoU, precision & recall, and correlations.Learn more
Access high-quality, expert labelers on-demand
Encord helps match your annotation use case to highly-skilled labeling professionals to deliver high-quality training data whilst lowering costs. Collaborate in real-time and scale your project effectively to any size.Get started
Your ML pipeline, your way
Connect your secure cloud storage, MLOps tools, and much more with dedicated integrations that slot seamlessly into your workflows.
Customize training data pipelines with ease
Encord's collaborative labeling platform helps you automate annotation with AI-assisted labeling, build active learning pipelines, and streamline data operations.
Software To Help You Turn Your Data Into AI
Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord Data Engine accelerates every step of taking your model into production.