Blog
The future of translation is an orchestration
Get practical insights, expert tips, and emerging trends on AI-powered translation, workflow design, and language operations. Learn how to move from one-off translations to scalable systems that improve over time.
Choosing the right translation model for B2B companies in 2026
In 2026, translation is about choosing the right operating model. Learn how B2B companies match translation approaches to content type, risk, cost, and scale.
Best practices for technical translations in manufacturing documentation
Technical translation in manufacturing is ongoing work. Learn how documentation teams manage updates, complex file formats, terminology, and engineering changes across multiple languages.
What is a CAT tool? Computer-Assisted Translation explained
Computer-Assisted Translation (CAT) tools are the quiet engines behind modern multilingual communication. This guide breaks down what they are, how they work, and why teams of all sizes rely on them to translate faster, stay consistent, and collaborate effortlessly.
The difference between general and technical translation
General translation focuses on fluency and tone, while technical translation prioritizes accuracy, consistency, and risk control. This guide explains why the difference matters and how to manage it properly.
What is AI Translation and how it differs from Machine Translation
Most teams think they’re already using AI for translation, but most aren’t. This story explains the real difference between AI translation and machine translation, how modern systems learn from human feedback, and why it’s changing the future of global communication.