List of RWS Language Weaver Customers
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Since 2010, our global team of researchers has been studying RWS Language Weaver customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased RWS Language Weaver for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using RWS Language Weaver for Natural Language Processing include: Wartsila Oyj Abp, a Finland based Manufacturing organisation with 18300 employees and revenues of $6.40 billion, NetApp, a United States based Professional Services organisation with 11800 employees and revenues of $6.27 billion, Ebram Hong Kong, a Hong Kong based Non Profit organisation with 30 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using RWS Language Weaver, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The RWS Language Weaver customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ebram Hong Kong | Non Profit | 30 | $3M | Hong Kong | RWS Group | RWS Language Weaver | Natural Language Processing | 2021 | n/a |
In 2021, Ebram Hong Kong implemented RWS Language Weaver to power a secure translation portal for arbitration and legal workflows. The deployment targeted legal and alternative dispute resolution functions, and was designed to meet Hong Kong confidentiality and compliance requirements.
The implementation used Language Weaver Edge in an on-premises and hybrid machine translation architecture, leveraging Natural Language Processing capabilities for automated translation and secure access controls. The initial configuration supported 15 language pairs, with subsequent expansions to additional pairs as needs grew.
Operational scope concentrated on legal teams and arbitration clients in Hong Kong, where the secure portal centralized translated case documents and supported review workflows. System configuration emphasized on-site processing to maintain data residency and confidentiality while enabling remote access for authorized stakeholders.
RWS Language Weaver solved approximately 90 percent of routine legal translation needs and improved speed to insight for arbitration clients, as reported in the implementation summary. Governance relied on portal access controls and translation model management to align machine translation outputs with legal quality expectations.
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NetApp | Professional Services | 11800 | $6.3B | United States | RWS Group | RWS Language Weaver | Natural Language Processing | 2015 | n/a |
In 2015, NetApp implemented RWS Language Weaver to support an MT-first content localization strategy for knowledge base articles and product documentation. RWS Language Weaver, a Natural Language Processing application, was applied to NetApp content and localization workflows to increase automated translation throughput across global documentation teams.
The deployment centered on machine translation engines and automated MT-first workflow orchestration, with configuration to route content through minimal post-editing gates. Functional capabilities included bulk batch translation for large documentation sets, inline MT output for knowledge base publishing, and post-editing orchestration to prioritize human review where quality thresholds required intervention.
MT was integrated into NetApp content workflows, enabling translation to be invoked as a standard step in documentation publishing and knowledge base updates, and the implementation connected automated translation output with editorial handoffs. Operational coverage targeted content and localization functions across product documentation and knowledge base publishing teams, supporting continuous content flows rather than ad hoc translation projects.
Governance shifted to an MT-first model, with process changes to classify content for automated translation, define post-editing rules, and manage quality control for 80 to 90 percent of localized items handled with minimal human revision. Workflow restructuring formalized acceptance criteria, editorial routing, and content type segmentation to ensure consistent use of machine translation in production publishing.
The implementation enabled NetApp to scale translation volume from approximately 10 million words to approximately 100 million words over five years, translating 80–90 percent of localized content with minimal post-editing, and to reduce costs and accelerate delivery of localized knowledge base articles and product documentation. RWS Language Weaver supported NetApp in operationalizing Natural Language Processing for content localization across documentation and knowledge management functions.
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Wartsila Oyj Abp | Manufacturing | 18300 | $6.4B | Finland | RWS Group | RWS Language Weaver | Natural Language Processing | 2020 | n/a |
In 2020, Wartsila Oyj Abp deployed RWS Language Weaver to translate foreign-language customer requirements and technical documents, accelerating bid responses in procurement and bids workflows across Finland and for global tender activity. RWS Language Weaver was implemented as a Natural Language Processing application focused on machine translation for RFQs and technical specifications, with output routed into bid authoring and technical review processes.
The implementation configured automated machine translation pipelines and human-in-the-loop review workflows to preserve domain terminology and enable rapid turnaround on complex documents. Configuration emphasized throughput scaling and terminology consistency to support technical content, aligning Natural Language Processing capabilities with procurement document workflows and reviewer post-editing tasks.
Operational coverage centered on procurement and bid teams, with translated content used by commercial and technical analysts to shorten response cycles. The MT deployment handled peak demand of approximately 6 million characters and supported a sustained increase in processing capacity, with the program doubling words processed over two years.
Governance changes shifted reviewer roles from bulk translation to analysis and validation, freeing up to 40 percent more time for analytical work. Translation latency dropped from two weeks to one to two days, enabling faster bid response timelines while RWS Language Weaver provided a scalable Natural Language Processing layer to absorb peak volumes.
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