Encord is the AI data platform for physical and multimodal AI. Encord offers data labeling, management, and curation for enterprise teams building production AI.
Founded by:
Loading...
You can use Encord to manage, curate, and annotate large datasets for training AI models. It handles petabytes of unstructured multimodal data including images, videos, and text. The platform provides data labeling tools, quality control features, and model evaluation capabilities. You can organize millions of files with full data lineage tracking, integrate AI agents for automated labeling, and validate AI models against your datasets to identify the most valuable training data.
Use Cases
Annotate thousands of images for computer vision model training
Curate video datasets for autonomous vehicle AI development
Label medical imaging data for healthcare AI applications
Manage training datasets for robotics and physical AI systems
Validate model performance against real-world data samples
Organize multimodal datasets across different AI projects
Track data quality and annotation accuracy over time
Integrate annotation workflows with existing ML pipelines
Collaborate on large-scale data labeling projects across teams
Prepare datasets for model fine-tuning and alignment
.png?alt=media&token=47b9fad5-dc2c-4316-ab97-557e774d25b8)
.jpeg?alt=media&token=a74e6ac1-9733-466a-afba-0a0f72a8413f)
