Automating annotation for computer vision
Unlock data-centric AI by iterating on your training data creation and model building faster than ever, while retaining 100% control of your data.
Labeled training data, radically faster
Our novel micro-model approach automates up to 99% of your manual labeling tasks. All with data never having to leave your private storage.
Our suite of powerful tools allows for seamless collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers.
The Division of Nephrology reduced experiment duration by 80% while processing 3x more images.
KCL used Cord to achieve a 6.4x average increase in labelling efficiency for GI videos.
Explore the possibilities
We built Cord to support you as your company adopt and scales computer vision AI applications.
Expansive ergonomic image & video data labeling toolkit.
Embedded algorithms and heuristics help to replace manual labeling.
Condense the iteration cycle by finding the right data to label.
One-click state-of-the-art model training and inference.
Combine algorithms, heuristics, and models into data programs.
Discover biases and imbalances with advanced visualization features.
Check out our featured
research paper and tutorials
We collaborate with some of the world's leading companies, hospitals, and research institutions.
“ If your tool is built on top of CVAT — like most of the machine vision teams we’ve worked with — it quickly starts to succumb to the increased workload and comes down crashing faster than you can say Melvin Capital. “Written by Ulrik Hansen
Ready to get started?
Speak to a member of our team to learn how you can iterate faster.