A private AI workspace for hospitals and clinics

Multiply one pasted patient note by a few hundred staff and a public chatbot becomes a steady leak of health data out of the hospital. One nurse pasting a discharge note to save five minutes looks harmless. Repeat that across every ward, every shift, every week, and the same act becomes a quiet pipe carrying named patients, diagnoses, and treatment plans into someone else's servers.

You do not have to choose between a capable AI and keeping records on your side. You can give clinical and administrative staff a real AI workspace that runs on a server you own, where a prompt about a named patient goes to your machine and stays there. This is what kral does.

Why a public cloud chatbot clashes with hospitals and clinics

A consumer chatbot is a black box hosted by an outside company, usually in a data center in another country. When a clinician types a patient name, a lab result, or a referral letter into it, that text leaves your building and lands on infrastructure you do not control and cannot inspect. You cannot say where it is stored, how long it lives, or who can read it. For an organization that handles some of the most sensitive personal data there is, that is the wrong default.

Banning AI outright does not fix it. Your staff already use these tools on their phones and home laptops to write summaries, rephrase letters, and make sense of dense notes, because the tools genuinely help. A ban just pushes that usage into the shadows where you cannot see it or protect it. The realistic move is not to block AI. It is to give people a sanctioned tool that does the same job without the data leaving your side.

Run the model in-house

With kral the whole platform runs on your own server, inside your network. From there you can add a local model that runs on your own hardware, so a prompt about a named patient goes to your machine and stops there, with no external API anywhere in the path. The text never crosses your network boundary.

Most hospitals and clinics mix two setups. They keep a strong cloud model for general work where no patient is named (drafting a policy, summarizing a public guideline, rewriting an internal email), and they route the sensitive cases to the local model on their own hardware. Your staff pick the right tool for each task, and the records that matter most never leave the building.

A full workspace, not a chat box

This is more than a place to type questions. Your team can build their own assistants in minutes with no code. One assistant can draft discharge summaries in your exact format, so a clinician fills in the case and gets back a structured letter that already matches your house style. Another can turn dictation into a clean structured note, taking spoken handover and shaping it into the fields your records expect.

People can save reusable routines so nobody rebuilds the same setup twice. They can drop in a document and ask questions about it, pull a current answer from the web with citations when they need outside facts, and switch between the leading models in one click depending on the task in front of them.

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. You decide what it can reach and what it cannot. Your systems stay yours, and the AI answers from your material rather than a stranger's best guess.

You run it and you see everything

You stay in charge. Manage who has access and which models each person can use. Set a spending limit per person so costs never run away. Watch real usage on a dashboard, so you know what is happening rather than guessing. Staff sign in with single sign-on through your existing accounts. kral installs on Windows Server behind IIS, sits inside your network behind your firewall, and carries your own branding so it feels like your tool. If you want the wider picture of running this kind of tool yourself, see company-wide AI you host yourself.

We help you put it in place

You do not have to work this out alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across wards and offices without the data leaving your side. Implementation consulting is part of what we offer, so the move from idea to working tool happens with people who have done it before.

Your staff get a capable AI they will actually use. Your patients' records stay on a server you own. That is the whole point: real help for the people doing the work, and the sensitive data never goes anywhere it should not.

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