Launching Soon
A single, unified platform for multimodal labeling
Introducing the first end-to-end multi-modal labeling tool to annotate multiple modalities and evaluate model output natively.
Trusted by pioneering AI teams
Why Encord?
Join thousands of ML practitioners deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.
Complexity made simple
One platform. Multimodal possibilities.
Manage multi-modal datasets, map relationships between data types in one labeling workflow, and test model output to identify failure modes all on one platform.
Encord workflow
Import multi-modal datasets
Connect your data storage to seamlessly import images, videos, text, or document data. Curate the most valuable data for labeling directly in the Encord platform and send for labeling.
Label data at lightning speed
Synchronise labels across data types without managing multiple projects in an industry-leading label editor with lightning-fast annotation capabilities.
Review model output natively
Leverage Encord Active to evaluate model output and curate only the necessary data to re-train your model and enhance performance.
“20%
increase in mAP building active learning pipelines”
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance – and the errors and issues where the models are not performing well – and create the feedback mechanisms to improve our models and data.
Prajwal Kotamraju,
Co-Founder and Head of Computer Vision @ Automotus
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Active
Find & fix data issues with ease
Monitor, troubleshoot, and evaluate the data and labels impacting model performance.
Index
Manage & curate your data
Understand and manage your visual data, prioritize data for labeling, and initiate active learning pipelines.