Automating annotation for computer vision
Iterate on your training data creation and model building faster than ever while retaining 100% control of your data.
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Labeled training data, radically faster
Our novel algorithmic approach automates 99% of your manual labeling tasks - the biggest bottleneck in building modern AI applications - replacing thousands of hours of human labeling.
Our suite of powerful tools allows for seamless collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers.
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.
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research paper and tutorials
We collaborate with some of the world's leading companies, hospitals, and research institutions. Our tutorials help you get you started.
“ 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.