"During the explosion of innovation in 2023 surrounding models and multimodal AI, the need for high-quality datasets became more stringent, with each organization having multiple use cases requiring specialized data," Vahan said in a statement. "We saw an opportunity to build an easy-to-use, low-code platform, like a Swiss Army Knife for modern AI training data."
SuperAnnotate, whose clients include Databricks and Canva, helps users create and keep track of large AI training data sets. The startup initially focused on labeling software, but now provides tools for fine-tuning, iterating and evaluating data sets.
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, comparing the performance of models by the data that was used to train them.
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.
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