Case Study: Kanadevia builds a company-wide language infrastructure with DeepL

A DeepL Case Study

Kanadevia rolls out DeepL company-wide after 100-user PoC to power global expansion

Kanadevia, a manufacturing company focused on decarbonization and energy, faced significant communication barriers as it expanded its global operations to achieve a 50% overseas operating income ratio. With internal documents primarily in Japanese and a need to collaborate in multiple languages, these language differences slowed down operations and created inefficiencies. To address this, the company implemented a suite of AI-powered translation tools from DeepL, including DeepL Translator, DeepL Write, and DeepL Voice, to serve as a unified language infrastructure.

DeepL provided a company-wide solution that was quickly adopted after a successful proof of concept with 100 users. The implementation streamlined the translation of documents, meetings, and real-time conversations, preserving formatting and enabling seamless cross-language collaboration. As a result, Kanadevia eliminated previous workflow inconsistencies and communication bottlenecks, empowering its global workforce and accelerating its international expansion efforts.


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