TranslationOS enables enterprises to run AI-driven localization with transparency, control, and confidence. It replaces legacy TM-centric workflows with a context-centric approach that works on full content context and coordinates AI with professional language expertise.
During our latest event, we announced that Lara now supports 200 languages and introduced a new reasoning model, Lara Think. This milestone paves the way toward universal understanding, empowering enterprises and language professionals to deliver fluent, accurate translations to 80% of the world’s population by covering the official languages of the countries where they live.
Our data clearly shows that within a decade the best-performing translators will spend the same amount of time correcting a translation done by MT as one done by their peers that doesn’t require any editing.
Airbnb expanded language support into 31 new languages, including low-resource languages, enabling rapid global growth through a hybrid human–AI localization system.
Asana moved from traditional localization to an AI-first workflow, automating 70% of translation processes, reducing manual effort by 30%, and improving translation quality at scale.
Glovo improved conversion rates in linguistically diverse markets by translating restaurant food menus in real time, supported by automated review for low-confidence content.
NordVPN drove a 43% increase in sales by scaling localized content marketing and advertising across 24 locales.
Cricut localized a 100+-minute video library into five languages in just two weeks, using expressive AI voices and vetted language professionals to scale video localization cost-effectively.
Airbnb used Translated’s smart dubbing and voice translation service to create a cutting-edge, video-based training experience that helps new hosts accelerate their growth on the platform.
In this article, our Technology Evangelist, Kirti Vashee, explores the key themes that emerged from the latest industry conferences, from SlatorCon to LocWorld and TAUS, and what they reveal about the shift from AI experimentation to enterprise-scale localization.
Translation memory alone is no longer enough. AI needs context to deliver consistent, brand-aligned translations that improve over time. This article explores why context-centric orchestration is reshaping the future of localization.
We have been recognized as a Leader in the MarketScape “Worldwide Machine Translation Software 2022 Vendor Assessment” by IDC, the premier global provider of market intelligence and advisory services for information technology.