A confidential AI workspace for architecture firms

An unbuilt design is yours only until it leaks, and a public chatbot is the easiest way for it to leave the studio unnoticed. The render you have not shown the client, the competition entry due next week, the floor plans tied to a private address: all of it can be pasted into a chat window in seconds and copied to a server in another country before anyone signs off on it.

There is a way to give your team a capable AI without putting your work in someone else's hands. Run the model on your own server, keep the designs and client plans on your side, and let people work the way they already want to.

Why a public cloud chatbot clashes with architecture firms

Architecture runs on confidential material. Concept designs, client briefs, site plans, fee proposals, the early massing studies for a project that has not been announced. The moment one of those goes into a public chatbot, it sits on infrastructure you do not own, under terms you did not write, and you cannot say where the copy ends up or who trained on it.

Banning AI does not fix this. Your staff already use it, on their phones if not on their desktops, because it saves them an hour on a project description or a tender response. A ban just pushes that use out of sight, where you have even less idea what left the studio. The honest move is to give people a tool that is safe to use, not to pretend they have stopped.

Run the model in-house

With kral the platform runs on your own server. On top of the leading cloud models, you can add a local model on your own hardware, so a prompt about an unbuilt design goes to your machine and stops there, with no external API anywhere in the path. The text never leaves the building.

Most firms mix the two. A cloud model handles the general work, drafting, rewording, summarizing public material, where speed matters and nothing is sensitive. The local model takes the cases that must not leave: the live competition entry, the unreleased scheme, anything tied to a named client. Your team picks per task, and the sensitive prompts simply never reach an outside provider.

A full workspace, not a chat box

kral is a place your team works, not a single text box. They can build their own assistants in minutes with no code. One assistant drafts project descriptions in your studio voice, so a junior architect starts from a solid paragraph instead of a blank page. Another turns rough meeting notes into a clear list of who does what by when, ready to send before everyone has left the room.

Useful setups get saved as reusable routines, so nobody rebuilds the same thing twice. Anyone can drop in a document, a brief or a spec, and ask questions about it. They can pull a current answer from the web with citations when they need an up to date fact. And they can switch between the leading models in one click, whatever the task calls for.

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 drawing templates, your standard specifications and your internal project knowledge, instead of guessing from the open web. The answers come from your material, in your format. Your systems stay yours, and you decide what the assistant can reach.

You run it and you see everything

You stay in control of the whole thing. Manage who is in and which models each person can use, set a spending limit per person so costs never surprise you, and watch real usage on a dashboard. Sign-in goes through your single sign-on. 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. If you want the wider picture, here is how this looks as company-wide AI you host yourself.

We help you put it in place

You do not have to wire this up alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the studio without the data leaving your side. Implementation consulting is part of what we offer, so the platform is working for your team, not sitting half configured.

Your designs are the firm. Keep them where you can see them, give your people a real tool, and let the sensitive work stay on your own server.

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