List of Phrase TMS Customers
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Since 2010, our global team of researchers has been studying Phrase 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 Phrase 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 Phrase TMS for Natural Language Processing include: EET Group, a Denmark based Distribution organisation with 750 employees and revenues of $680.0 million, Inbank Estonia, a Estonia based Banking and Financial Services organisation with 370 employees and revenues of $78.0 million, TransLingo Japan, a Japan based Professional Services organisation with 120 employees and revenues of $3.0 million, Tito, a Ireland based Leisure and Hospitality organisation with 10 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Phrase 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 Phrase 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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EET Group | Distribution | 750 | $680M | Denmark | Phrase | Phrase TMS | Natural Language Processing | 2022 | n/a | In 2022, EET Group implemented Phrase TMS to fully automate marketing and campaign translation workflows across Europe. The deployment positioned Phrase TMS as the central Natural Language Processing platform for marketing and content localization, spanning 24 European markets and 19 languages and serving campaign and marketing teams. Phrase TMS configuration focused on end-to-end workflow orchestration, translation memory reuse, and automated asset routing from campaign sources to localization queues and back. The implementation leveraged Phrase TMS capabilities for workflow automation and localization management to reduce manual handoffs and accelerate campaign-ready content. The project integrated Phrase TMS with Adnuntius to remove manual upload and download steps, with the integration delivered by specialists Working Minds. Governance and process changes centralized localization workflows and approved asset flows across the 24-market footprint, and the integration eliminated manual steps and saved an estimated 100 working hours per year. | |
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Inbank Estonia | Banking and Financial Services | 370 | $78M | Estonia | Phrase | Phrase TMS | Natural Language Processing | 2025 | n/a | In 2025 Inbank Estonia implemented Phrase TMS as a cloud-based Phrase TMS deployment to manage their website localization, classifying the solution under Natural Language Processing. The implementation places Phrase TMS at the center of web content localization workflows, standardizing translation handoffs and in-context content updates for customer-facing digital interfaces. Phrase TMS configuration emphasizes core translation management capabilities common to the category, including translation memory reuse, terminology management, workflow automation for translation and review, and an in-context editor for web UI strings. The deployment is structured to handle web file formats and iterative content pushes to the site, enabling continuous localization rather than batch translation projects. Operational scope for Phrase TMS covers digital channels tied to the company website, and impacts business functions responsible for product content, marketing copy, and customer support knowledge base items. Integrations are focused on the website content delivery pipeline and content staging processes, enabling translators and reviewers to work directly against live or staged web assets. Governance around Phrase TMS implementation includes role-based access for translators and reviewers, defined review cycles for published web copy, and centralized terminology governance to maintain linguistic consistency across customer touchpoints. Rollout and adoption emphasize embedding Phrase TMS into existing web publishing processes, with operational ownership retained by digital product and content teams. | |
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Tito | Leisure and Hospitality | 10 | $2M | Ireland | Phrase | Phrase TMS | Natural Language Processing | 2019 | n/a | In 2019 Tito implemented Phrase TMS to streamline software localization for its Ruby on Rails ticketing platform. Phrase TMS is a Natural Language Processing application used to centralize translation management for product interfaces and external customer flows, with the checkout available in 17 languages and new language rollouts taking about a week. The implementation emphasized Phrase TMS translation memory features and centralized translation management, enabling the small engineering team to manage strings and localization assets from a single TMS console. Configuration focused on mapping Rails locale files and extracting translatable resources into Phrase TMS, while maintaining developer workflow efficiency and minimizing manual handoffs. Operational scope covered product and checkout localization across Tito's European footprint, with the developer team owning integrations between the Rails codebase and Phrase TMS. The deployment model reflects a hosted TMS integrated into the application development lifecycle, supporting iterative language releases and in-context translation handoff between engineers and localization contributors. Governance changes centered on centralizing translation ownership and embedding localization into normal release cadence, which supported faster language rollouts. Phrase TMS was referenced in the case study for its translation-memory capabilities and role in improving developer workflow efficiency for product localization. | |
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Professional Services | 120 | $3M | Japan | Phrase | Phrase TMS | Natural Language Processing | 2023 | n/a |
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