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

The data layer for AI

Align your AI models with human evaluation workflows

AI teams use Encord to build annotation and evaluation workflows for production-ready AI applications across healthcare, manufacturing, smart cities, sports, and more.

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

With Encord, we went from spending multiple weeks labeling large volumes of retail video, to our present state, where the Product and the ML team iterates in days visually, collaboratively, and seamlessly.

Bruno Abbate

Bruno Abbate

Head of Machine Learning at Standard AI

Read more aboutstandard ai logo

Industry-leading AI models are
built on mature data pipelines

Stream multiple data sources

Unify multimodal data from across
the organization

Synchronize data from local and cloud data sources into one platform for efficient data management, visualization, and search.

AI assisted labelling

Annotation and labeling

Accurately label and review your AI data across all modalities, then use AI-assisted workflows to train and fine-tune datasets at scale.

Explore annotation & labeling
Rubric based evaluation

Post-training alignment

Refine and improve your model training by leveraging high-quality preference data and RLHF workflows.

Explore post-training alignment

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

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

Visit trust centre
HIPAA CompliantAICPA SOC 2 CertifiedGDPR Compliant
The data layer for AI

Get the data right

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