Case Study: Welocalize builds a scalable annotation pipeline with HumanSignal

Welocalize scales annotation across 250+ languages with HumanSignal

Welocalize, a global provider of translation and localization services, partnered with HumanSignal to enhance their data annotation process within their data design lifecycle. Their challenge was to build an effective annotation team capable of accurately labeling data across multiple languages and domains to improve their machine learning models.

HumanSignal provided the solution through its Label Studio Enterprise platform, enabling Welocalize to implement a robust data design lifecycle. This involved careful solutioning, task design, and scaling of their annotation pipeline with a qualified workforce. The result was a virtuous cycle of continuous improvement, leading to better data quality, more effective ML models, and enhanced product performance for sustainable business growth.

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