Under MDR, translation is not just a linguistic task. It is part of controlled documentation. Texts such as labels, IFUs, packaging text, and other product information cannot be treated as “just translations”.
The Janus AI Ecosystem now supports the uploading of translation memories (TMs) and glossaries for use in the AI-powered translation process. Thanks to this new functionality, the system analyzes the text in the original language and compares it with data from the TM and glossary. In addition, all grammatical forms of words (declension, conjugation, cases) are taken into account. Therefore, if a glossary term appears in the text in any form, the system will see it. As a result, only those terms directly present in the text and those translation memory segments most similar to the sentences in the text are added to the prompt. This reduces the amount of data transferred, speeds up the translation, and makes it more accurate.
Video has long become a universal language of business communication: presentations, webinars, promotional videos, and training courses, and they all require high-quality adaptation for a global audience. But how can you ensure your content sounds just as good in every language without having to choose between quality and speed?
Strategy does not guarantee business success. But the absence of strategy almost certainly guarantees failure.
In our industry, we often talk about translation quality as the key success factor for any project. But I can say with certainty that the final result doesn’t begin when the translator opens a file – it starts much earlier, at the stage of technical file preparation for translation.
2025 was the first year when the language services industry truly felt the cold breath of AI. This impact was further intensified by today’s geopolitical reality, especially the slowdown in global trade caused by tariffs and sanctions.
The Medical Device Regulation (MDR) and In Vitro Diagnostic Regulation (IVDR) have transformed localization into a discipline focused on change management. It’s no longer a matter of “Translate once and then forget.” Instead, it demands ongoing lifecycle management.
In early 2024, the Janus Worldwide team launched a large-scale initiative to implement its proprietary AI plugin in real-world production scenarios. The approach was practical and business-oriented: how to reduce translation costs without sacrificing quality, especially in the face of limited budgets and strict client deadlines.
Artificial intelligence has become firmly established in everyday localization processes. However, it is important to understand: not all AI translations are created equal. With increasing demands on quality, deadlines, and stylistic accuracy, machine translation alone is not enough for clients. They need it a real intellectual tool, adapted to their content, style and objectives.
Machine translation, even built on the most modern LLM models, must not only sound smart, but also be objectively qualitative. At Janus Worldwide, we are confident that artificial intelligence is not magic, but a tool whose results can be measure, compare and improve.