RWS, a content solutions company, powered by technology and human expertise, announced that its Language Weaver solution has been selected as winner of the ‘Machine Translation Solution of the Year’ award in the 8th annual AI Breakthrough Awards program conducted by AI Breakthrough.
The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including generative AI, agentic AI, natural language processing and industry-specific AI applications. This year’s program attracted more than 5,000 nominations from over 20 different countries.
“While many competitors offer fragmented capabilities, Language Weaver delivers a uniquely comprehensive translation experience tailored for global enterprises,” said Steve Johansson, Managing Director, AI Breakthrough. “We’re pleased to award RWS with the 2025 award for ‘Machine Translation Solution of the Year!’”
The latest award follows three other recent industry accolades, including two 2025 AI Excellence Awards and an AI Breakthrough Award in 2024.
Language Weaver is an AI-powered translation solution that seamlessly integrates adaptive neural machine translation (NMT), scalable performance, intuitive usability and enterprise-grade security into a single, end-to-end platform. The solution ensures compliance with data protection regulations and offers robust privacy controls as well as flexible deployment options – whether in the cloud, on-premises, or in hybrid environments.
“This award is a true testament to the incredible dedication and innovation of our Language Weaver team,” said Mark Lawyer, President of Regulated Industries & Linguistic AI at RWS. “Their passion, expertise, and relentless pursuit of excellence have positioned Language Weaver as a leader in AI-powered translation – capable of helping clients to handle high volumes of complex, multilingual content.”
The Language Weaver platform processes up to 500,000 words per minute across 150+ languages and its adaptive AI models continuously learn and refine translations. It incorporates industry-specific glossaries, branded terminology, and real-time feedback for enhanced contextual accuracy.
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