Case Study: Outreach achieves higher-quality training data and faster labeling with HumanSignal

A HumanSignal Case Study

Preview of the Outreach Case Study

Outreach boosts training data quality 15-20% with HumanSignal

Outreach, a leading sales execution platform, faced significant challenges with its previous data labeling tool, which created an inefficient reliance on data scientists and limited their ability to produce the high-quality training data needed for their machine learning models. This rigid system slowed down their operations and prevented them from meeting their business goals, prompting a search for a new solution. They ultimately selected Label Studio Enterprise from HumanSignal to address these issues.

By implementing Label Studio Enterprise, Outreach empowered its annotation team to configure tasks independently, drastically reducing development time by 25%. The platform provided essential real-time metrics and management tools, which led to a 15-20% increase in data quality and a six-fold increase in the number of concurrent projects the team could handle. HumanSignal's solution enabled Outreach to efficiently produce the high-quality data required to power its AI-driven sales insights and pursue new projects like generative AI.


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