List of memoQ TMS Customers
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Since 2010, our global team of researchers has been studying memoQ TMS 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 memoQ TMS 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 memoQ TMS for Natural Language Processing include: Com2uS Group, a South Korea based Communications organisation with 700 employees and revenues of $430.0 million, Hubspot Germany, a Germany based Construction and Real Estate organisation with 75 employees and revenues of $30.0 million, Tomedes, a Israel based Professional Services organisation with 60 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using memoQ TMS, 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 memoQ TMS 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 | Insight Source |
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Com2uS Group | Communications | 700 | $430M | South Korea | memoQ | memoQ TMS | Natural Language Processing | 2015 | n/a | In 2015, Com2uS Group began implementing memoQ TMS in a European office to support game localization into 16 languages. The project targeted product and game localization across EMEA and APAC and positioned memoQ TMS within the companys Natural Language Processing tooling for translation and terminology control. The technical deployment centered on memoQ Server as a centralized translation management backbone and Translator Pro licenses for linguists, with explicit configuration of terminology management to enforce consistent glossaries. Standard category capabilities such as translation memory reuse and workflow orchestration were applied to streamline project handoffs and reduce manual coordination. memoQ servers were subsequently deployed in South Korea and Europe to scale global localization operations, providing a distributed server topology that supported regional localization teams and in house production across EMEA and APAC. The implementation focused on operationalizing localization workflows for product and game releases rather than on named external system integrations. Governance was formalized through centralized terminology management and standardized project templates and workflows, with rollout proceeding from the initial European office to additional sites. The case study reports improved turnaround times and greater terminology consistency as direct outcomes of the memoQ TMS deployment. | |
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Hubspot Germany | Construction and Real Estate | 75 | $30M | Germany | memoQ | memoQ TMS | Natural Language Processing | 2023 | n/a | In 2023 HubSpot Germany integrated memoQ AGT within memoQ TMS to improve product and content localization. The memoQ TMS implementation, classified as Natural Language Processing, began evaluation in December 2023 and focused on scaling language coverage and improving translation accuracy and contextual relevance across markets. Implementation centered on deploying the memoQ AGT generative-AI translation capability inside memoQ TMS, operating alongside established memoQ workflows and translation management features to automate draft translations and pre-fill context-sensitive segments. Configuration emphasized preserving source segment context, enforcing terminology, and leveraging existing translation assets to maintain consistency across localized content. The project included iterative tuning of AI outputs within the translation management lifecycle. Operational scope targeted product teams and content teams responsible for multi-market documentation and localized product content, integrating memoQ TMS into content handoff and translation review pipelines. The deployment used memoQ TMS as the central orchestration layer for translation tasks, presenting memoQ AGT suggestions as pre-translated segments within a unified translator and reviewer interface. This arrangement supported scaling language coverage while keeping core content production workflows intact. The December 2023 evaluation and subsequent integration reported immediate quality gains from memoQ AGT when used alongside memoQ workflows, according to the case study. Governance relied on embedding AI-generated suggestions into existing review gates and translation quality assurance processes to maintain contextual relevance and accuracy. | |
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Tomedes | Professional Services | 60 | $6M | Israel | memoQ | memoQ TMS | Natural Language Processing | 2020 | n/a | In 2020, Tomedes implemented memoQ TMS to automate high volume multilingual workflows, improve translation quality and reduce manual effort. The memoQ TMS implementation emphasized Natural Language Processing capabilities, leveraging machine translation integration, Translation Memory and QA modules to standardize linguistic assets and enforce quality checks across projects. The deployment supported Tomedes global localization operations from the United States and was applied across translation and localization workflow teams to centralize project management, asset reuse and automated QA gating. Tomedes reported productivity gains up to ~50% and an approximately 30% reduction in manual work, reflecting the operational impact of memoQ TMS automation and translation memory driven reuse. |
Buyer Intent: Companies Evaluating memoQ TMS
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