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nextria
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nextria

nextria

@nextria
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nextria
nextria
1 w

AI-Based French-English Translation Tools in Canada: AI Based Translation Software

In Canada, where bilingualism is a cornerstone of official communication, governments and businesses must often effectively navigate both French and English in the workplace. 

https://nextria.ca/blog/ai-bas....ed-french-english-tr

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nextria
nextria
7 w

Building Accessible, Compliant Documents—Securely On-Premise with the CastleGuard Word Plugin

Across the Government of Canada, accessibility and compliance are not optional—they’re essential.

https://nextria.ca/blog/castleguard-word-plugin

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nextria
nextria
9 w

Why Your Translations Deserve Better Than an LLM: The CastleGuard Difference

In an era where large language models (LLMs) can code, chat, and even reason like humans, it’s easy to assume they can handle everything — including translations. But when it comes to official bilingual workflows, like those used across the Government of Canada, the difference between using a general-purpose LLM and a dedicated translation model isn’t subtle.

https://nextria.ca/blog/why-yo....ur-translations-dese

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nextria
nextria
9 w

The Problem with Cloud Based AI Services

One of the primary concerns with using external AI services is data security risk. If sensitive corporate data enters the cloud, it can be difficult or impossible to retrieve. You can try to tighten controls, but it can feel a bit like closing the barn door after the horse is gone. Once corporate intellectual property is “in the wild” the consequences can be severe.

https://nextria.ca/blog/the-pr....oblem-with-cloud-bas

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nextria
nextria
10 w

Why We Don't Use LangChain — And You Shouldn't Either

We get this question a lot—from customers who’ve seen a flashy demo, read a Medium article, or experimented with LangChain in a hackathon. At first glance, it looks like a tempting shortcut: plug-and-play agents, built-in vector search, ready-made pipelines.

https://nextria.ca/blog/why-we-dont-use-langchain

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