Train your AI models with the data that matters
Surface and refine only the most relevant AI data from across all of your data sources to streamline model training and enhance model accuracy.
“What Encord is bringing to our team now is mostly headspace. Taking away the pain of starting a new project from scratch. We just delegated that away and focused on the model.”
Dragos Bobolea
Director, Applied Sciences at UiPath
Unified data management across multiple teams and data modalities
Video
Image
Audio
LiDAR
Text
Document
Geospatial
HTML
Seamlessly synchronize multiple data sources
Self-host data or connect to AWS, GCP, Azure, Oracle, or OTC cloud storage in a few clicks and access all nested files instantly.
Explore cloud integrations
One place to explore data across all modalities
Manage and explore multimodal data including image, video, DICOM and audio to efficiently prepare exactly the right data required for your AI model.
Explore multimodal dataExplore & curate billions of data points at scale with ease
Search your data using natural language
Level up your data curation process to easily find the most relevant and specific data for model development using natural language search and similarity search.
Inspect your data using metrics and custom metadata
Filter and slice large datasets using 40+ data metrics and explore by metadata to efficiently curate high quality data for AI model development.
Visualize with custom embeddings plots
Visually identify and inspect data outliers with embeddings plots. Find under-represented areas of your datasets and fill these gaps to ensure fair and balanced datasets.
Clean your data with Collections
Group and remove poor quality data from your dataset in a few clicks. Filter using metadata to create smart Collections, bulk classification and more to manage and enrich your data prior to annotation.
You're in good company
Encord is used by 300+ frontier AI teams to deploy production-ready AI models.
Frequently asked questions
Data curation is the process of organizing, searching, filtering, and selecting the most relevant and highest-quality data from large, multimodal datasets to improve AI model training and performance.
Encord lets you search across image, video, audio, text, DICOM, and other data types using natural language and similarity search, then filter and slice datasets using 40+ built-in data metrics and custom metadata.
Yes. Encord's Collections feature groups and removes poor-quality or duplicate data in a few clicks, so you can clean and enrich datasets before annotation.
Encord is API/SDK-first with zero data migration required, you can self-host or connect directly to AWS, GCP, Azure, Oracle, or OTC cloud storage, and your data stays in your own cloud.
Yes. Encord provides a single point of access for video, image, audio, LiDAR, text, document, geospatial, and HTML data, so multiple teams can manage and explore all modalities in one place.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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