AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of RWS Language Weaver Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating RWS Language Weaver

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating RWS Language Weaver. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD RWS Language Weaver Coverage

RWS Language Weaver is a Natural Language Processing solution from RWS Group.

Companies worldwide use RWS Language Weaver, from small firms to large enterprises across 21+ industries.

Organizations such as Wartsila Oyj Abp, NetApp and Ebram Hong Kong are recorded users of RWS Language Weaver for Natural Language Processing.

Companies using RWS Language Weaver are most concentrated in Manufacturing, Professional Services and Non Profit, with adoption spanning over 21 industries.

Companies using RWS Language Weaver are most concentrated in Finland, United States and Hong Kong, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of RWS Language Weaver across Americas, EMEA, and APAC.

Companies using RWS Language Weaver range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of RWS Language Weaver include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified RWS Language Weaver customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.