Encord Index
The leading data management {{icon_1}} and curation tools {{icon_2}} for advanced ML teams
For effective data-centric model development, you need control of your data. Simplify your data management and curation with Encord Index and create balanced, representative datasets with ease.
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.
Encord Index
Curate the right data to power your models
Seamlessly manage and curate your visual data with Encord to drive a data-centric approach to model development. Reduce data bias, edge-cases, and wasteful data to drive impactful improvements to model accuracy.
Encord Index
Understand your data
Whether leveraging the multi-modal search, finding similar data, or exploring visual properties and metadata, there are a host of tools to help you understand your data.
Simplify data cleansing
Identify outliers and underrepresented areas
Prepare your datasets for annotation
Reduce the size of your dataset
Manage your unstructured data with ease and eliminate the need to build traditional and vector database infrastructure. Eliminate over half of the time data scientists spend on data cleansing and preparation with the leading data management and curation tool for advanced computer vision teams.
Select the right data for your ML projects and leverage the power of active learning. Use model predictions, metadata, and embeddings to distribute your data as you desire and improve your model by understanding edge cases and bias.
Remove data transfer between tools. Encord Index natively integrates with Annotate to ensure a seamless transition of data to labeling projects. Assign and track tasks in real-time to accelerate data-driven model experiments and project scalability.
Explore other Encord products
Annotate
Supporting your labeling needs
Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.
Active
Find & fix data issues with ease
Monitor, troubleshoot, and evaluate the data and labels impacting model performance.