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RWS and Cohere Launch Language Weaver Pro Translation AI | AI Best Practices — McFadyen Digital | AI Best Practices for Commerce
  1. News
  2. › Open-Source and Ecosystem AI Models Expand Rapidly
  3. › Jun 9, 2026
Open-Source and Ecosystem AI Models Expand RapidlyTuesday, June 9, 2026
LLMCohereRWSCommand A Translate · cohereLanguage Weaver Pro · rws

RWS and Cohere Launch Language Weaver Pro Translation AI

RWS and Cohere unveiled Language Weaver Pro, an enterprise AI translation solution that outperforms competitors in 31 of 32 languages while maintaining security and compliance controls. For global commerce teams, this shift from general-purpose translation to specialized language intelligence means faster, more accurate multilingual operations without data governance compromises.

AI-generated. Summaries are AI-generated from cited sources. Click through for the original report.

RWS, one of the world's largest translation service providers, and AI company Cohere have launched Language Weaver Pro, a next-generation enterprise translation solution built on a custom Cohere large language model (Cohere Blog). The partnership began in July 2025 when Cohere asked RWS to test its Command A Translate model; by September, the teams had developed a specialized machine translation model combining Cohere's LLM foundation with RWS's global language and cultural expertise (Cohere Blog).

Comprehensive benchmarking shows Language Weaver Pro outperforming all competitors in 31 out of 32 languages commonly used across enterprise domains (Cohere Blog). In human evaluations, Language Weaver Pro achieved 55% overall sentence test wins against DeepL NextGen and maintained a 100% win rate in English-to-Japanese paragraph translations (Cohere Blog). For commerce practitioners, this represents a shift from generic translation to specialized language intelligence that handles cultural nuance, compliance requirements, and technical terminology—enabling faster content localization without sacrificing accuracy or data security, while freeing human linguists to focus on high-judgment decisions.

The solution is built with end-to-end security controls where RWS maintains complete data ownership, and Cohere's model operates on secure RWS infrastructure (Cohere Blog). Future roadmap items include image and voice translation capabilities as well as edge deployment optimization (Cohere Blog).

Sources:1 report
  • Cohere Blog
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ShareLast updated: June 9, 2026