Case Study: Black Swan Data achieves 50%+ annotation savings with Humanloop

A Humanloop Case Study

Preview of the Black Swan Data Case Study

Black Swan Data - Customer Case Study

Black Swan Data, a leading NLP startup, needed to manually label thousands of social media posts to monitor consumer trends. This manual annotation process made expanding into new regions prohibitively expensive. The company turned to Humanloop to address this challenge.

Using Humanloop's active learning technology, the solution enabled Black Swan Data to intelligently select only the highest value data for labeling. This approach allowed them to train high-performing models while achieving greater than 50% savings in costs.


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