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.
“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
Co-Founder and CEO at Synthesia
Build human-verified data workflows for RLHF and model evaluation
Differentiate your model performance
Generate high-quality preference data by configuring data evaluation and alignment workflows.
Design and implement evaluation workflows
Incorporate RLHF, DPO and other post-training workflows into your training process with Encord's suite of evaluation tools.
Testimonial
Supporting leading AI teams
With Encord, we were operational in just two weeks, and then we went on vacation and got back, and the data was good.
A big reason why we decided to partner with Encord was because of the quality bar we saw in doing POCs with a ~dozen companies.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
The most valuable feature to us is the automated QA workflow that forces the ML engineers to be more incorporated into the labeling process.
Encord is essential in our daily activities because it allows us to focus on what actually matters, like model optimisation and testing.
Encord brought together scalability, video-native annotation, clear label visibility, and the flexibility to support other modalities in a single, cohesive platform.
With Encord, we were operational in just two weeks, and then we went on vacation and got back, and the data was good.
A big reason why we decided to partner with Encord was because of the quality bar we saw in doing POCs with a ~dozen companies.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
The most valuable feature to us is the automated QA workflow that forces the ML engineers to be more incorporated into the labeling process.
Encord is essential in our daily activities because it allows us to focus on what actually matters, like model optimisation and testing.
Encord brought together scalability, video-native annotation, clear label visibility, and the flexibility to support other modalities in a single, cohesive platform.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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300+ of the best AI teams in the world use Encord. Join them.