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AI translation grounded in your glossary, memory, and QA

LingoHub sits between your repo and the model. Grounding, QA, and review are the product. The model is the engine you choose.

Use your glossary, style guide, translation memory, and product context when generating translations.

Run terminology, formatting, and consistency checks before content moves through the workflow.

Let LINA draft and check content while your team reviews the translations that need human attention.

Translation is easy. Consistency is a system.

Any model can draft a sentence. Keeping the same term, the same tone, and the same placeholders across twelve languages and forty releases takes a glossary, a memory, QA, and a place where approvals live. That is what LingoHub adds to the engine.

From AI draft to approved translation

LINA works inside your localization workflow, using your assets and QA rules before content reaches approval.

Explore LINA Go to AI LINA page

Flexible engine setup

LingoHub applies your glossary, translation memory, QA, and workflow around the engine you choose.

AI models (LLMs)

Claude, Gemini, Mistral, OpenAI GPT


Machine translation

AWS Translate, DeepL, Google Translate V3

See AI in action Book a demo and see how AI LINA works
Illustration of a the LingoHub logo connected to AI, machine translation, cloud, and localization technology platforms.

Why a chat window is a draft, and a localization platform is a release

A chat can generate a translation. LingoHub keeps that translation connected to your glossary, translation memory, QA rules, approvals, and localization files as your product changes.

Language you can ship

Your terminology stays consistent, QA is complete, and the translations are ready for the next release.

Frequently asked questions

Got questions? We have the answers.

What is LINA in LingoHub?

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LINA is the AI inside LingoHub. She uses your terminology, approved translations, style, and quality rules to support translation, review, and quality checks.

What can LINA do?

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LINA can suggest translations, translate content, check translation quality, and review or approve eligible segments depending on the level of automation you choose.

What context does LINA use?

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LINA can use your glossary, translation memory, style guide, labels, and other project context in LingoHub to apply your terminology and writing rules.

Which AI models can LINA work with?

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LINA can work with a range of AI models from Anthropic, Google Gemini, Mistral, and OpenAI, including different model sizes and performance levels. You can choose the model that fits your project and switch between available engines in LingoHub. LingoHub also supports machine translation engines including AWS Translate, DeepL, and Google Translate.

Can LINA translate and review content automatically?

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Yes. LINA can translate and check eligible content automatically. Depending on her assigned role, translations can move to your team for review or be approved automatically.

Why not only use ChatGPT for localization?

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A general AI chat does not manage your localization workflow, linguistic assets, integrations, review stages, or translation history. LingoHub keeps this context together and provides it to LINA across releases.