A private AI workspace for childcare providers

Few records are more sensitive than a young child file, and a free chatbot would copy it out of your care without a second thought. A name, an address, a custody arrangement, a note about an allergy or a hard week at home: paste any of it into a public tool and it has left your building. You cannot pull it back, and you cannot say where it now lives.

There is a calmer way to work. You can give your team a capable AI that runs on your own server, so the file about a real child stays on your side and never travels to someone else's cloud. The help is real, and the data stays home. The rest of this page shows how.

Why a public cloud chatbot clashes with the families you serve

A public chatbot lives on machines you do not own, usually in a US cloud. When a staff member pastes a parent message or a developmental note to get a quick draft, that text crosses the open internet and lands in a system you cannot inspect. You did not choose where it is stored, how long it is kept, or who can see it. For a setting built on trust with parents, that is a quiet but serious problem.

Banning AI does not solve it, because your people already use it. The educator who is tired at the end of a long day will reach for whatever writes the parent update faster. Tell staff no, and they use it on their phones where you have no view at all. The honest move is to give them a tool that is safe by design, so the easy path is also the careful one.

Run the model in-house

With kral the platform runs on your own server. You can also add a local model on your own hardware, so a prompt about a named child goes to your machine and stops there. No external API sits in that path. The words never leave the room.

Most providers mix two setups. A cloud model handles general work where nothing personal is involved: a newsletter intro, a policy reworded in plain language, ideas for a parents' evening. A local model handles the sensitive cases, the ones that mention a real family. You decide which is which, and your team gets speed without sending children's details outside.

A full workspace, not a chat box

This is more than a place to ask questions. Your team can build their own assistants in minutes with no code. One person sets up an assistant that drafts parent updates in your tone, so every message sounds like your setting rather than a generic robot. Another builds an assistant that turns the day's scribbled notes into a clean summary, ready to share or file. You save these as reusable routines, so nobody rebuilds the same setup next week.

You can drop in a document and ask about it, pull a current answer from the web with sources cited, and switch between the leading models in one click. The same workspace covers the quick draft and the careful task, and your staff learn one tool instead of five.

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. Ask it to draft a letter and it uses your wording, not something it invented. Your systems stay yours, and the connection runs on your terms.

You run it and you see everything

You decide who is in and which models they can use. Set a spending limit per person so costs never drift. Watch real usage on a dashboard, so you know what is happening rather than guessing. Staff sign in once with 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, under your roof and your rules.

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 your team without the data leaving your side. Implementation consulting is part of what we offer, so the first weeks are guided rather than guesswork.

Your team gets the help they want, and the children and families you serve keep the privacy they are owed. The work gets easier, and the records stay on your server. Book a short demo and see it running on a setup like yours.

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