A confidential AI workspace for engineering firms

A client drawings and specs are their competitive edge, and a public chatbot would copy them to a cloud with no contract behind it. The moment a junior engineer pastes a load calculation or a client floor plan into a free tool to "just check something," that work leaves your building. You cannot see where it sits, who can read it, or whether it trains the next version of someone else model.

There is a way to give your team a capable AI without handing your work to a vendor you do not control. Run the AI on your own server, keep the designs and client specs on your side, and let your people work the way they already want to. That is what kral does.

Why a public cloud chatbot clashes with engineering firms

Your firm lives on confidential material: structural designs, client requirements, drawings, cost models, unreleased proposals. A public chatbot in a US cloud is a black box. Once a prompt leaves your network, you are trusting a third party term of service and an opaque retention policy with the one thing your clients pay you to protect. For a firm under NDA on most projects, that is a real exposure.

Banning AI does not fix it. Your staff already use it, at their desks, on their phones, to write reports and untangle a tricky spec. A ban just pushes that usage somewhere you cannot see, which is worse than the problem you started with. The answer is not to block the tool. It is to give them a good one that stays inside the walls.

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 client drawing goes to your machine and stops there. No external API sits in that path. The data never crosses your firewall.

Most firms run a mix. A cloud model handles the general work, drafting an email, cleaning up wording, answering a quick question, while a local model handles the sensitive cases where the client material is on the line. You decide which work goes where, and the truly confidential prompts never leave the building.

A full workspace, not a chat box

Your team gets more than a text box. They can build their own assistants in minutes with no code. One engineer sets up an assistant that drafts technical reports in your format, so the structure and tone match what your clients expect every time. Another builds an assistant that summarizes a dense spec into a clean list of action items, so a fifty page document turns into the three things that actually need doing this week.

People save reusable routines, so nobody rebuilds the same setup twice. They drop in a document and ask questions about it directly. They pull a current, cited answer from the web when they need a fact checked source. And they switch between the leading models in one click, picking the right one for the task without leaving the workspace.

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 internal knowledge through a connector you control, instead of guessing from the open web. It draws on the documents and references that are actually yours. Your systems stay yours, and the connection runs on your terms.

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 run away from you. Watch real usage on a dashboard, so you know what is happening across the firm. Sign in through single sign-on. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and runs in your own branding, so it looks like part of your firm and not a borrowed tool. If you have read about company-wide AI you host yourself, this is that idea built for engineering work.

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 firm without the data leaving your side. Implementation consulting is part of what we offer, so the platform lands the way your team actually works rather than as another tool nobody adopts.

Your designs and client specs are the reason clients hire you. Keep them on your server, give your engineers a real AI, and stop sending your best work to a cloud you cannot see into.

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