SYSTRAN: Use-Cases, Insights and Reviews | 2026 Cuspera

SYSTRAN translate Server helped Lexcelera improve translation quality for 60 countries and 100 languages. Lexcelera used SYSTRAN Model Studio to train custom machine translation models, boosting BLEU... scores by 10 to 15 points per training. The integration with MemoQ streamlined workflows and reduced costs. Lexcelera gained autonomy in model training, delivering faster, high-quality translations for large corporate clients.
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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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Lombard Odier needed a secure way to translate documents and emails in many languages. They wanted to avoid online translation tools that could risk client data privacy. The IT department chose SYSTR...AN for its in-house translation solution. SYSTRAN was integrated into their intranet and email system. This helped Lombard Odier translate content safely and cut translation costs. The solution supports many languages and fits into their daily work.
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Lexcelera needed to improve translation quality and keep up with changes in the language industry. They used SYSTRAN Machine Translation technology for over 10 years. SYSTRAN translate Server and Mod...el Studio helped them train their own translation models for specific needs. This allowed Lexcelera to save time and money while offering high-quality translations. They can now respond quickly to large corporate clients and improve translation accuracy.
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XTM and SYSTRAN helped Ariel Corporation boost translation quality by 22 BLEU points. The integration of neural machine translation and fuzzy matches improved language asset value. Ariel automated co...ntent flows between their CMS and XTM, then enhanced results with SYSTRAN MT. They saw reduced costs, better translation quality, and less post-editing effort. The solution also supported consistent brand voice and author style adaptation.
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SYSTRAN Pure Neural Server helped Nestlé centralize translation for 3,000 users across 32 languages. Nestlé needed to cut translation costs, speed up delivery, and keep data secure. The machine trans...lation solution integrated with their TMS and supported technical and legal documents. Nestlé saw faster processes, lower costs, and compliance with data security standards. The system handled scanned documents and PDFs, making translation easy for many departments.
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