SYSTRAN: Product updates, Customer stories, and Insights | 2026 Cuspera

Nestlé needed to translate and localize content in many languages for different uses. Their old process used only human translation, which was slow and costly. They chose SYSTRAN's machine translatio...n server for 3,000 users to translate in 32 languages. The solution helped them process more translation work, lower costs, and keep content private. Nestlé used the tool for technical and legal documents, with both automatic and human-edited translations.
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Stellantis wanted to help its employees around the world communicate better. They needed a translation tool for their Intranet Portal that was secure and easy to use. Stellantis chose SYSTRAN's machi...ne translation solution and added it to their IT system. Now, 3,000 users each day can translate documents and emails in real time. The tools help create multilingual content and keep information safe. Since launch, users make 40,000 to 50,000 translation requests daily, and the dictionary service saw a 112% increase in use.
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XTM and SYSTRAN helped Ariel Corporation improve translation quality and reduce costs. The integration enabled their content management system to feed content automatically into XTM, then enhanced it... with SYSTRAN machine translation. This setup led to a +22 BLEU points increase in translation quality. Ariel Corporation benefited from faster, more accurate multilingual content and better use of their language assets.
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Petit Futé wanted to expand its travel guides to new foreign markets. They faced a challenge because their content was very large and changed often. They needed a way to translate this content quickl...y and affordably. Petit Futé chose SYSTRAN’s automatic translation technology. They used it to translate practical information and help their translators work faster. The solution was fully integrated into their system. This helped them launch an English website and support more languages.
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New Paradigm needed a better way to translate large amounts of sensitive data in many languages. They wanted to save analysts' time, customize language profiles, and keep data secure. They chose SYST...RAN over other options for its strong technology and support. SYSTRAN's on-premise solution gave them better data privacy and efficiency. Now, they translate about 16 million posts per month, up from just 200 before. Their team can now focus on risk reporting instead of manual translation.
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SYSTRAN translate Server helped FARFETCH boost efficiency by up to 45% in luxury fashion content localization. FARFETCH localized 3,000 products daily in 16 languages for 38 partner websites. After i...ntegrating neural machine translation with their TMS, they saw a 30–35% productivity gain and 35–45% cost savings. Continuous engine retraining brought an extra 10–15% improvement in the second year. SYSTRAN's solution fit seamlessly into FARFETCH's workflow, supporting global e-commerce growth.
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