Announcing our Series C with $110M in total funding. Read more →.

Train your AI models with
the data that matters

Surface and refine only the most relevant AI data from across all of your data sources to streamline model training and enhance model accuracy.

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woven toyota
mayo clinic
Ui Path
AXA
royal navy
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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.

Victor Riparbelli

Victor Riparbelli

Co-Founder and CEO at Synthesia

Unified data management across multiple teams and data modalities

Video
Image
Audio
LiDAR
Text
Document
Geospatial
HTML
Stream multiple data sources

Seamlessly synchronize multiple data sources

Self-host data or connect to AWS, GCP, Azure, Oracle, or OTC cloud storage in a few clicks and access all nested files instantly.

Natural language search across modalities

One place to explore data across all modalities

Manage and explore multimodal data including image, video, DICOM and audio to efficiently prepare exactly the right data required for your AI model.

Explore & curate billions of data points at scale with ease

Natural language search datasets

Search your data using natural language

Level up your data curation process to easily find the most relevant and specific data for model development using natural language search and similarity search.

Filtering methods in Encord

Inspect your data using metrics and custom metadata

Filter and slice large datasets using 40+ data metrics and explore by metadata to efficiently curate high quality data for AI model development.

Embeddings curation

Visualize with custom embeddings plots

Visually identify and inspect data outliers with embeddings plots. Find under-represented areas of your datasets and fill these gaps to ensure fair and balanced datasets.

Remove duplicates from your dataset

Clean your data with Collections

Group and remove poor quality data from your dataset in a few clicks. Filter using metadata to create smart Collections, bulk classification and more to manage and enrich your data prior to annotation.

Enterprise-grade.
Built for scale.
Designed for reliable AI.

API/SDK-first. Zero data migration. Your data stays in your cloud.

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