Case Study: Inetum scales multilingual collaboration and talent deployment with DeepL

Inetum unlocks collaboration for 28,000 employees with DeepL

Inetum, a leading European IT consultancy, faced significant challenges with language barriers hindering knowledge sharing and efficient consultant deployment across its 19 countries. Their existing translation methods were inconsistent and of mixed quality, which blocked scaling and collaboration. To overcome this, Inetum turned to the vendor DeepL, initially integrating the DeepL API into their Confluence platform.

By implementing DeepL's solutions, including the DeepL API for documents and DeepL Voice for real-time spoken communication, Inetum streamlined its global operations. The results included efficient multilingual collaboration for over 350 users, reduced hiring constraints by focusing on skills instead of language fluency, and cost savings from quicker international operations transfer. DeepL provided the high-quality, secure translation needed, with ROI measured through high volumes of translated documentation and increased cross-border team usage.

Inetum