Case Study: McAfee achieves faster, high-quality global content localization with Welocalize's NMT-enabled solutions

A Welocalize Case Study

Preview of the McAfee Case Study

Training MT Engines to Deliver High-Quality Global Content, Fast

McAfee, the largest independent pure‑play cybersecurity company serving customers in 182 countries, needed to deliver rapidly updated, accurate localized product and support content that preserved brand tone and global terminology. To meet this challenge McAfee partnered with Welocalize, developing an NMT‑enabled, AI‑driven linguistic process and multi‑engine strategy to localize content in more than 10 languages and scale global content transformation.

Welocalize customized and continually trained McAfee’s MT engines, combining best‑in‑class systems (Microsoft Translate, Google AutoML, DeepL and Welocalize’s proprietary NMT) and using MT post‑editing (MTPE) for knowledge‑base content. The solution increased translation quality and throughput, enabled more content to be published faster, and delivered measurable cost savings of over 10% versus full human translation, while maintaining brand consistency and ongoing innovation.


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McAfee

Morgan O’Brien

Technical Program Manager


Welocalize

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