List of ChapsVision SYSTRAN Translate Pro Customers
Paris, 92150,
France
Since 2010, our global team of researchers has been studying ChapsVision SYSTRAN Translate Pro 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 ChapsVision SYSTRAN Translate Pro 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 ChapsVision SYSTRAN Translate Pro for Natural Language Processing include: CLAAS KGaA mbH, a Germany based Professional Services organisation with 12116 employees and revenues of $5.20 billion, Yves Rocher Amerique Du Nord, Inc, a France based Consumer Packaged Goods organisation with 13500 employees and revenues of $3.00 billion, Ariel Corporation, a United States based Oil, Gas and Chemicals organisation with 1000 employees and revenues of $450.0 million and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ariel Corporation | Oil, Gas and Chemicals | 1000 | $450M | United States | ChapsVision | ChapsVision SYSTRAN Translate Pro | Natural Language Processing | 2025 | n/a |
In 2025 Ariel Corporation deployed ChapsVision SYSTRAN Translate Pro as a Natural Language Processing component to enhance translation quality and automation for its technical content localization process. The US deployment targeted Ariel's technical documentation and multilingual engineering content workflows within its oil, gas and chemicals operations, aligning language automation with content production schedules.
ChapsVision SYSTRAN Translate Pro was configured as an enterprise machine translation engine with integration points for translation memory leverage, pre-translation automation, and post-editing workflow support. The implementation emphasized MT quality tuning through translation memory integration and rule-based configuration to improve terminology consistency across technical assets.
The deployment operated in conjunction with XTM, embedding ChapsVision SYSTRAN Translate Pro into XTM translation management workflows to automate handoffs between pre-translation, TM leverage, and human post-editing. Operational coverage focused on content localization teams, technical authors, and external linguists, with the solution providing centralized MT output and TM reconciliation within existing localization workflows.
Governance changes included centralized control over MT configuration and mandatory TM leverage policies to standardize translated technical content. Outcomes reported from the deployment included accelerated localization workflows, improved machine translation quality via TM integration, and reduced post-editing effort and time-to-market for multilingual technical content.
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CLAAS KGaA mbH | Professional Services | 12116 | $5.2B | Germany | ChapsVision | ChapsVision SYSTRAN Translate Pro | Natural Language Processing | 2025 | n/a |
In 2025, CLAAS KGaA mbH implemented ChapsVision SYSTRAN Translate Pro. The Natural Language Processing deployment integrated SYSTRAN Translate Server into CLAAS IT systems to provide secure, real time translations supporting after sales, customer service and documentation localization across Germany and for global operations.
The implementation configured ChapsVision SYSTRAN Translate Pro for tailored translations using CLAAS company terminology, combining enterprise translation engine capabilities to ensure consistent terminology application and translation memory reuse. Deployment emphasized data privacy through a server based architecture, keeping translation processing within CLAAS controlled infrastructure.
Operational scope covered after sales and customer service teams and documentation workflows, integrating with documentation pipelines and terminology repositories to feed consistent glossaries into translation workflows. The integration enabled expansion to more language pairs, with real time translation services used in operational communications and product documentation localization.
Governance established terminology stewardship and translation quality review workflows to maintain corporate language standards, and privacy controls were applied to protect customer and service data during translation processing. Outcomes included improved after sales communication and expanded language coverage while preserving data privacy.
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Yves Rocher Amerique Du Nord, Inc | Consumer Packaged Goods | 13500 | $3.0B | France | ChapsVision | ChapsVision SYSTRAN Translate Pro | Natural Language Processing | 2025 | n/a |
In 2025, Yves Rocher Amerique Du Nord, Inc deployed ChapsVision SYSTRAN Translate Pro to translate retail training materials for its global store network. The deployment leverages Natural Language Processing capabilities delivered as SYSTRAN Translate Private Cloud via ChapsVision, enabling internalized machine translation workflows for localization and HR training content.
Implementation focused on core translation modules including neural machine translation, terminology management, and translation memory to enforce consistent brand and product terminology across multilingual training assets. The ChapsVision SYSTRAN Translate Pro environment was provisioned on a private cloud model, configured for secure content processing and repeatable batch and on-demand translation workflows.
Operational coverage began in France with a phased global rollout to more than 100 countries, targeting retail store training operations and HR localization processes across the global store network. The program internalized translation capacity within the organization, reducing external vendor dependency while streamlining turnaround and standardizing terminology across locales.
Deployment introduced centralized terminology governance and localization process controls to sustain consistency across training content, with program governance oriented around HR training owners and regional store operations. Reported outcomes include reduced costs and faster turnaround time and improved terminology consistency, reflecting the stated benefits of the SYSTRAN implementation.
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