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The data layer for AI

Improve output accuracy
and fidelity for Generative AI

Search, label and evaluate large multimodal datasets in a single environment to maintain traceability and achieve consistent, objective, and reliable outputs.

synthesia
woven toyota
mayo clinic
Ui Path
AXA
royal navy
standard ai
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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

Take Generative AI into production
with a mature data pipeline

Rubric based evaluation of model output

Manage and label multimodal data

Accurately label and review data of all types, including structured, unstructured, and multimodal data. Orchestrate RLHF and HITL workflows to achieve high-quality data labeling up to 3x faster.

Metadata filtering

Curate the right data for Generative AI

Use advanced filter, batch, and search capabilities to efficiently find the highest quality data. Supercharge model performance by prioritizing the most valuable data for fine-tuning.

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AI agents in an Encord workflow

Automate AI data pipelines and workflows

Accelerate your model improvement cycle by automating core data preparation and processing tasks. Easily combine SOTA models and your own workflows to stay on the cutting edge.

Explore data agents

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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The data layer for AI

Get the data right

300+ of the best AI teams in the world use Encord. Join them.