How to Evaluate AI Translation Quality at Scale

As AI translation becomes part of everyday localization workflows, the challenge is shifting from speed to trust. This article explains how Hansem QA combines AI quality estimation, rule-based QA, contextual AI review, and customer-specific validation to measure translation risk and manage high-volume multilingual content more reliably. Better AI Translation Makes Verification More Important Generative AI […]

Beyond AI Translation: Technology Built for Real-World Production

Hansem AI Translate’s listing in the memoQ Ecosystem reflects a broader approach at Hansem Global: when existing MT and AI tools leave gaps in real translation workflows, Hansem builds technology to close them. The goal is practical—better quality, control, and scalability in production. Why Would a Language Service Provider Build Its Own memoQ Plugin? Hansem […]

We Don’t Just Use AI Translation Tools. We Build Them.

Most translation companies use off-the-shelf AI tools. Hansem Global built its own, extending what the industry-standard tools can do rather than replacing them. Today, professional translation runs on CAT (computer-assisted translation) tools. Hansem Global, a localization company that produces and adapts industrial and technical documentation in more than 50 languages, works inside these platforms, and […]

Hansem AI memoQ Plugin: Bring the Latest LLMs into memoQ

The Hansem AI memoQ Plugin lets translation teams apply the latest LLMs to AI translation directly in memoQ, rather than being locked into a fixed built-in engine. Teams keep their existing translation memories, termbases, and QA assets while AI generates fast first drafts, and professional linguists refine context, terminology, and brand voice to ensure final […]

The Core of AI Data Projects: A System for Large-Scale Resource Operations

In AI data projects, having access to a large workforce is not enough. To maintain schedule stability and delivery quality, companies need an operating system that can quickly identify the right resources, confirm response and availability, and assign them accurately based on project needs. This article looks at how Hansem Global has systemized large-scale resource […]

Is Your Manual Still on Paper? Why Smart Equipment Needs Digital DX Now

Is Your Manual Still on Paper? Why Smart Equipment Needs Digital DX Now

While industrial equipment becomes increasingly intelligent, why are technical manuals still stuck in the 20th century? For global manufacturers in construction, heavy machinery, and medical devices, Digital Transformation (DX) of technical documentation is no longer optional—it is a mission-critical strategy. As products become more complex, the reliability and real-time accuracy of manuals directly impact safety […]

Transforming Documentation with AI: Inside Hansem Global’s Field-Tested Workstation

Artificial intelligence is transforming every corner of the workplace— and content workflows are no exception. While manufacturers often focus on AI’s role in production or logistics, a quieter but equally impactful shift is underway in how product-related content is created, translated, and reviewed. At Hansem Global, we’ve seen this shift firsthand. Our teams across translation […]

Why Hansem Global Combines Two Solutions in the MTQE Era

Why Hansem Global Combines Two Solutions in the MTQE Era

Machine Translation Quality Estimation (MTQE) is one of the most talked-about developments in today’s localization industry. The promise of “automatically evaluating translation quality with minimal human effort” is attractive, and global tools such as TAUS EPIC, ModelFront, COMET-QE, and Intento are already serving as benchmarks for many companies. Hansem Global evaluated several options and selected […]