With SuperAnnotate’s platform, users can connect data from local sources and the cloud to create data projects on which they can collaborate with teammates. From a dashboard, users can compare the performance of models by the data that was used to train them, and then deploy those models to various environments once they’re ready.

SuperAnnotate also provides companies access to a marketplace of crowd-sourced workers for data annotation tasks. Annotations are usually pieces of text labeling the meaning or parts of data that models train on, and serve as guideposts for models, “teaching” them to distinguish things, places and ideas.