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Refine AI training data with human-in-the-loop workflows

Improve the quality of your model outputs by generating high-quality preference data for RLHF, DPO, and model evaluation, using Encord’s suite of alignment, labeling, and collaboration tools.

RLHF image comparing two model 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

Build human-verified data workflows for RLHF and model evaluation

Rubric based evaluation

Differentiate your model performance

Generate high-quality preference data by configuring data evaluation and alignment workflows. 

Consensus workflow node

Design and implement evaluation workflows

Incorporate RLHF, DPO and other post-training workflows into your training process with Encord's suite of evaluation tools.

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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Get the data right

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