RWS, a content solutions company, powered by technology and human expertise, today announces a multi-year Strategic Collaboration Agreement with Amazon Web Services (AWS) to bring to market new solutions powered by generative AI.
The latest agreement builds on the existing relationship between both companies after RWS joined the AWS ISV Accelerate program in May 2024. Members of this software vendor program are held to the industry's highest standards and undergo a comprehensive evaluation of their experience, technology and security standards.
Under the Strategic Collaboration Agreement RWS and AWS will develop generative AI solutions, enabling clients to increase efficiencies when creating, translating and delivering content. RWS is currently working with AWS on 25 new product features and multiple new proofs of concept.
“Our Strategic Collaboration Agreement with AWS marks a milestone in our development of new AI-powered language and content technology,” commented Mark Lawyer, President of Regulated Industries & Linguistic AI at RWS. “Working with AWS helps us to innovate faster, allowing our clients to rapidly unlock opportunities for growth by taking full advantage of the latest breakthroughs in AI, applied to well-designed use cases.”
RWS’s Language Weaver and Tridion Docs are available to AWS customers through the AWS Marketplace, along with other RWS language and content technology solutions such as Trados Accelerate and Tridion Sites. The AWS Marketplace is a curated digital catalogue that helps customers to find, buy, deploy and manage third-party software, data and services for their businesses.
Notes to editors
In 2024 RWS released several AI-powered innovations developed using Amazon Bedrock and Amazon SageMaker. They include
Evolve, RWS’s award-winning linguistic AI solution, and the latest version of
Tridion Docs, RWS’s component content management solution, which uses Bedrock to enable high-quality natural language-based search and authoring assistance. RWS’s Language Weaver, a neural machine translation platform, uses Amazon SageMaker to build new features and scale its Large Language Model capabilities in a private, secure and protected environment.