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Join Kieran Devlin from UC Today as he sits down with Gonçalo Gaiolas, Chief Product Officer at DeepL, to discuss the company’s strategic expansion from text-based translation to real-time voice.
As DeepL introduces its new Voice API, this session explores why this technology is a game-changer for enterprise contact centers. It’s not just about converting words; it’s about capturing intent, tone, and the human element in high-stakes customer interactions.
In this session, we move beyond the hype of generalist LLMs to understand why specialized AI is crucial for mission-critical business communications. Gonçalo breaks down how DeepL is tackling the unique challenges of voice translation—from preserving emotional nuance to adhering to strict data sovereignty laws.
Key discussion points include:
Solving the “Empathy Gap”: How DeepL’s Voice API allows agents to hear original audio cues (like sarcasm or hesitation) alongside the translation, ensuring they don’t miss the human context behind the words.
From Cost Center to Revenue Generator: Why enabling agents to speak in their native language reduces cognitive load, leading to higher call completion rates and better sales outcomes.
The End of Language-Based Geographies: How real-time voice translation allows Operations Directors to hire for talent rather than language skills, potentially reshaping the physical footprint of global contact centers.
Security in the Age of Voice: A look at how DeepL applies its rigorous European privacy standards—including data minimization and no-training policies—to sensitive biometric voice data.
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