A confidential AI workspace for translation agencies

Every document a client sends you to translate is one they trust you to keep private, not feed into a public chatbot. The contract under embargo, the medical file, the patent draft, the board minutes: the moment any of it lands in a public AI tool, a copy of it sits on someone else's server, in another country, outside your control.

That trust is the whole business. Lose it once and a client does not come back. The good news is that you do not have to choose between modern AI and confidentiality. You can run a capable AI on your own server and keep the sensitive material on your side, where it belongs.

Why a public cloud chatbot is the wrong place for confidential client documents

When a translator pastes a source file into a public chatbot, that text leaves the building. It travels to a vendor's cloud, usually in the US, and you have no real way to prove what happens to it next. For a translation agency that is a problem of substance, not paperwork. Your clients handed you those files under an expectation of secrecy, and a translation agency that cannot say where the words go has a weak answer when a client asks.

Banning AI outright does not solve it. Your linguists are already using these tools at home and on their phones, because they are genuinely useful for first drafts and terminology. A ban just pushes that usage out of sight, where you cannot govern it at all. The fix is to give people something better that you actually control.

Run the model in-house

With kral the whole platform runs on your own server. You can also add a local model on your own hardware, so a prompt about a confidential document goes to your machine and stops there. No external API sits in that path. The file, the prompt and the answer never cross your network edge.

Most agencies run a mix. A strong cloud model handles general work, marketing copy, internal questions, low-stakes drafts, while a local model on your hardware handles the sensitive cases: the named client file, the embargoed release, the document under NDA. You decide which work is allowed to touch the cloud and which stays strictly in-house, and the routing is yours to set.

A full workspace, not a chat box

Your team gets more than a single text field. In a few minutes, with no code, anyone can build their own assistants. One linguist might set up an assistant that drafts first-pass translations against your glossaries, so the house terminology is baked in from the first word. Another might build an assistant that checks terminology against your style guide and flags anything off-brand before a file goes to review.

People can save reusable routines, so nobody rebuilds the same setup from scratch every Monday. You can drop a document straight into the chat and ask questions about it, pull a current cited answer from the web when you need an outside fact, and switch between the leading models in one click when one handles a language pair better than another. It is a working environment, shaped around how an agency actually moves files.

Connect your own systems

kral supports MCP, the open standard for connecting tools and data to an AI. Through a connector you control, the assistant can work with your own templates and internal knowledge instead of guessing from the open web. If a project has a fixed bilingual glossary or a client-specific term base, the assistant reads from your source rather than inventing terms. The connection runs on your terms, and your systems stay yours.

You run it and you see everything

You manage who is in and which models each person can use. You can set a spending limit per person, so costs never run away from you, and watch real usage on a dashboard instead of guessing. Single sign-on keeps access tidy. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding so it feels like an in-house tool, because it is one. If you want the wider picture, here is company-wide AI you host yourself.

We help you put it in place

You do not have to figure this out alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the agency without the data leaving your side. Implementation consulting is part of what we offer, so the move from public tools to your own server is a guided one, not a weekend project dropped on your IT person.

Your clients trust you with their words. Keep that trust intact, give your linguists a capable AI to work with, and keep the confidential files on your own server where they cannot wander off.

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