Case Study: Sense Street boosts annotator efficiency with HumanSignal Label Studio

Sense Street increases annotator efficiency 120% with HumanSignal

Sense Street, a company developing natural language understanding systems for capital markets, faced significant challenges scaling its data labeling operations with its legacy annotation software. The cumbersome tool lacked team management, robust quality control, and efficient workflows, hindering its ability to handle complex, multilingual financial data. To support its growth, Sense Street turned to HumanSignal and implemented its product, Label Studio Enterprise.

By adopting Label Studio Enterprise from HumanSignal, Sense Street gained advanced features for customization, team management, and quality control. This solution led to transformative results, including a 120% increase in annotator efficiency, a 400% expansion of its team, and a 50% increase in the scope of its data labeling practice, ultimately enhancing the quality of its machine learning models.

Sense Street