
Aqrate Launches Languagecheck.Ai: The AI That Revolutionises Translation Review And Puts Translators At The Centre
Aqrate, an Italian company specialising in language technologies, has chosen a different and counter-trend path: LanguageCheck , a platform that uses AI not to translate, but to check and verify translations with speed and precision - keeping the human translator at the heart of the process.
Why machine translation isn't enoughIn recent months, the enthusiasm for“AI that does it all” has run up against its practical limits. Expecting to upload a complex file - such as Word, PDF, InDesign, or XLIFF - and get back a perfect translation is pure utopia. More often than not, output from ChatGPT, Gemini, or other Machine Translation systems includes terminology errors, inconsistencies, or outright misunderstandings - especially in technical texts.
As a result, translators must still re-read and correct every word (post-editing), nullifying the promised time and cost savings of AI.
Where LanguageCheck steps inLanguageCheck was designed precisely to solve this problem. It doesn't replace translation - it enhances it through a thorough review process that:
Identifies only the parts that need correction (on average less than 30% of the text);
Reaches an analysis speed of up to 1,000 words per minute;
Respects client termbases, flagging when a translation diverges from approved terminology;
Achieves nearly 100% linguistic accuracy in checking - while direct AI translation rarely exceeds 70%.
In a market obsessed with“AI-generated translation”, Aqrate is sending a clear message: technology should be understood and used to empower people , not push them aside.
LanguageCheck is designed for freelance translators, language service providers, and multinational companies that need to ensure translation quality without compromising on time or budget.
The result is a more sustainable work model: more reliable translations, faster reviews, and controlled costs .
With LanguageCheck, Aqrate brings a breath of realism and pragmatism to the language industry - less hype about“all-powerful AI” and more practical tools for those who work with words every day .

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