How Translated Made AI Translation Feel Human Again with Marco Trombetti

Agile Localization

In this episode of The Agile Localization Podcast, host Stefan Huyghe is joined by Marco Trombetti, Co-founder and CEO of Translated, to discuss how AI and human expertise can work together to transform the language service industry while maintaining quality and cultural authenticity.
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What You’ll Learn

• How to balance AI automation with human translation expertise in modern localization workflows
• Why specialized AI models like Lara outperform generic language models for professional translation
• The evolution of translation quality demands across different content types and how to meet them
• How to leverage structured language data to improve AI language models
• Why human translators remain crucial for lesser-resourced languages and cultural adaptation
• How to maintain value in translation services while embracing automation and new pricing models
  

Marco Trombetti is the CEO and founder of Translated, a pioneering AI-powered localization company established in 1999. As a visionary leader in language technology, he spearheaded the development of groundbreaking solutions, including MakeCat, ModernMT, and most recently, Lara, an innovative AI model specifically trained on professional translation data. Marco is renowned for successfully combining AI advancement with a human-centric approach, embodied in Translated's motto "We believe in humans."

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