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.
MULTIMODAL AI
Trusted by pioneering AI Teams
Data managment and curation
Search billions of multimodal files in seconds
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.
USE CASES
Multimodal data annotation supercharged 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.
Multiple videos
DICOM & PDF reports
Audio transcripts
Text extraction
RLHF workflows
Images, videos & docs
Testimonial
What our customers say
Victor Riparbelli
Co-Founder and CEO of Synthesia
“Successful state-of-the-art models require highly sophisticated infrastructure. Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.”
Optimize your multimodal data pipeline
Integrate your workflows
securely at </scale>
Connect your cloud storage, MLOps tools, and infrastructure through dedicated integrations. Access projects, datasets, and annotations via our API/SDK. Enterprise-grade security with SOC2, HIPAA, and GDPR compliance plus robust encryption standards.
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Supercharge your ML pipeline with Encord
Integrate SOTA models or your own models directly into your data workflows to automate any data reviews, pre-labeling, data classification, filtering and more.
