Lilt
34 Case Studies
A Lilt Case Study
Mintel, the global market intelligence and research agency, needed a more efficient way to localize its multilingual content for audiences across 35 countries. Its team was spending too much time correcting repetitive machine translation errors and needed a partner that could improve workflow efficiency, integrate with existing systems, and stay cost-effective. LILT was selected to support Mintel’s localization strategy with its enterprise language platform and AI-powered translation tools.
Using the LILT Platform, Mintel’s translators work with contextual AI suggestions, real-time learning, and connectors that fit into its existing workflow, while some content is translated instantly through model interoperability. The result has been a 20% increase in linguist translation speed, reduced labor and project costs, and faster time-to-market, while improving accuracy and supporting 5 target languages. LILT has also helped Mintel expand into new markets more quickly and improve overall ROI on localization.
Xiao Xiao
Head of Localization