The fastest way to manage, curate and annotate AI data
Manage, curate, and label multimodal data such as image, video, audio, document, text and DICOM files – all on one platform. Transform petabytes of unstructured data into high quality data for training, fine-tuning, and aligning AI models, fast.
Join thousands of ML practitioners deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.
20% increase in mAP with intelligent data curation.
60% increase in labeling speed by simplifying data pipelines.
83% reduction in false positive rate with specialised data management.
Support for all key modalities
Visually inspect data outliers with embedding plots. Find underrepresented areas of your datasets and fill these gaps.
Simplify data cleansing
Build balanced and representative datasets by identifying underrepresented visual quality metrics and corrupt images to enhance AI model performance.
Advanced filtering options
Connect to AWS, GCP, Azure, or OTC cloud storage in a few clicks and access all nested files in an instant. Data changes in storage are instantly reflected in Encord Index with data refresh.
Label your data at scale with Annotate
Accelerate your labeling projects at scale. Leverage custom or state-of-the-art foundational models to create pixel-perfect masks in a single click and dramatically reduce labeling hours on datasets.
Explore Annotate
Integrate humans-in-the-loop seamlessly with fully customizable workflows and expert review to suit your project's needs.
Explore Annotate
Multimodal annotation
Efficiently label data of any modality including image, video, medical imagery, or geospatial data and audio. Map relationships between modalities with sophisticated labeling ontologies.
Streamline data operations
Monitor team and annotator performance with actionable dashboards to ensure training data quality.
Collaborate across teams
Seamlessly control user roles with permissioning, manage task assignment, and infinitely scale your MLOps workflows.
Find & fix data issues with ease
Identify edge cases and underrepresented classes and conduct robustness and regression tests to uncover failure modes and issues in your models.
Evaluate model performance
Deconstruct model performance with automatic reporting on metrics like mAP, mAR, and F1 Score.
Compare model performance
Integrate humans-in-the-loop to build active learning workflows to refine model performance iteratively, significantly reducing deployment timelines.
Connect your secure cloud storage, MLOps tools, and much more with dedicated integrations that slot seamlessly into your workflows.
Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
Leverage our API/SDK to programatically access projects, datasets & labels within the platform via API.
