Case Study: HubSpot improves translation accuracy and localization scale with memoQ AGT

A memoQ Case Study

Preview of the HubSpot Case Study

HubSpot - Customer Case Study

HubSpot, a leading CRM platform, sought to ensure its non-English users had an experience equal to its English-speaking customers as part of its international growth. The challenge was that traditional machine translation tools lacked the ability to effectively incorporate HubSpot's specific terminology and style, leading to inaccuracies and extra manual work for its localization team.

The vendor, memoQ, implemented its memoQ AGT solution. This generative AI tool leverages HubSpot's own linguistic resources and context to produce more accurate and relevant translations. The result was a significant enhancement in translation quality and efficiency, enabling HubSpot to scale its localization efforts, expand language coverage, and better handle diverse use cases.


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HubSpot

Dierk Runne

Senior Manager Product Localization & Systems


memoQ

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