Curate and label multimodal data in one interface
Encord enables AI teams everywhere to manage, curate and annotate multimodal data such as image, video, DICOM, document, text, and audio files without compromising speed or security.
“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
Search billions of multimodal files in seconds
Gain increased label quality with customizable workflows to orchestrate reviews throughout labeling pipelines. Effectively label the most complex scenarios with granular detail using nested ontologies and evaluate annotator performance with real-time analytics.
Upload large multimodal datasets in minutes
Effortlessly upload large datasets including images, videos, audio files, PDFs and DICOM files to Encord using the Encord SDK or general interface.
Search and filter billions of multimodal files in seconds
Understand and organize large complex datasets with ease using granular metadata and attribute filtering as well as embeddings-based and natural language search capabilities.
Multimodal data annotation for any use case
Leverage multimodal context to achieve high-quality data annotation at scale. Customize the label editor layout to suit any data labeling workflow.
You're in good company
Encord is used by 300+ frontier AI teams to deploy production-ready AI models.
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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Get the data right
300+ of the best AI teams in the world use Encord. Join them.