A private AI workspace for veterinary clinics

A pet owner's file holds their address, their payment details and their animal's history, and a public chatbot would copy all of it to someone else's cloud. The moment a staff member pastes that file to draft a quick discharge note, it leaves the building and lands on a server you do not run, in a country you did not choose.

You do not have to make that trade. A capable AI can run on your own server, inside your clinic, where a question about a named client stays on your machine and goes nowhere else. That is what kral is built for.

Why a public cloud chatbot clashes with veterinary records

Your records are personal twice over. There is the owner: name, address, card details, sometimes a phone number tied to a home. There is the animal: diagnoses, medications, behavioural notes, the history that tells a whole story about a household. A public chatbot treats all of that as input to be sent off, stored, and processed by a company that is not you.

Banning AI outright does not solve it. Your team is already using these tools to write owner emails, summarize long notes and draft handover text, because the work is faster with them. Tell people no and they reach for a personal account on their phone, which is worse. The realistic move is to give them something just as good that stays on your side.

Run the model in-house

With kral the whole platform runs on your own server. You can add a local model that runs on your own hardware, so a prompt about a named client goes to your machine and stops there, with no external API anywhere in the path. Nothing crosses the internet for that request. Most clinics run a sensible mix: a strong cloud model for general writing and research where no client detail is involved, and a local model for the sensitive cases, the ones with a real name, a real address, a real patient attached. You decide which work goes where.

A full workspace, not a chat box

This is more than a single prompt window. Your team can build their own assistants in minutes, no code needed. One vet nurse can set up an assistant that drafts clear discharge instructions for owners in plain language, ready to hand over at pickup. Another can build an assistant that summarizes a full case file before a referral, so the receiving practice gets a tight, accurate picture. Save those as reusable routines and nobody has to rebuild the same setup twice. Drop a document in and ask questions about it. Pull a current, cited answer from the web when you need one. Switch between the leading models in a single click depending on the task in front of you.

Connect your own systems

kral supports MCP, the open standard for connecting tools and data to an AI. That means the assistant can work with your own templates and your internal knowledge through a connector you control, instead of guessing from the open web. Your discharge wording, your referral format, your house style: the AI uses yours, not a generic version it invented. Your systems stay yours, and the connection runs on terms you set.

You run it and you see everything

You hold the controls. Manage who is in and which models each person can use. Set a spending limit per person so costs never surprise you. Watch real usage on a dashboard. Sign in through single sign-on. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. This is company-wide AI you host yourself, with no admin handed to an outside vendor.

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 practice without the data leaving your side. Implementation consulting is part of what we offer, so the thing is working and your team is using it well, not sitting half-installed.

Your clients trust you with their records and their animals. Keep that trust where it belongs, on your own server, and give your team a capable AI at the same time. Both, not one or the other.

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