A confidential AI workspace for manufacturers

Your process know-how took years to build and seconds to paste into a public chatbot, where it leaves your control for good. A drawing, a tolerance table, a line of machine code, an unreleased product spec: once it is in a vendor cloud you do not run, you cannot pull it back.

There is a calmer way to give your people a capable AI. You run the platform yourself, on a server you own, and the sensitive work never leaves the building. That is what kral is built for.

Why a public cloud chatbot and your designs do not mix

A public chatbot lives on someone else's machines, usually in a US cloud. When an engineer pastes a fixture design, a CNC program, or the wording of a process that took a decade to refine, that text travels off your network. You have no real view of where it sits, how long it is kept, or who can read it. For a shop floor or an R&D team, that is exactly the material you guard most.

Banning the tools does not solve it. Your staff already use AI, on their phones if you block it on the desktop, because it makes their day faster. A ban just pushes the same paste-the-spec behavior somewhere you cannot see at all. The fix is to give them something 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 on your own hardware, so a prompt about a proprietary process goes to your machine and stops there. No external API sits in that path, and nothing about that job crosses your network edge. Most teams run it as a mix: a strong cloud model for general work like rewriting an email or explaining a standard, and a local model for the cases that touch designs, tooling, or anything unreleased. The person picks, or you set the rule. Either way the sensitive prompts have nowhere to leak to.

A full workspace, not a chat box

Your team gets more than a text field. They can build their own assistants in minutes with no code. One assistant drafts work instructions in your house format, so a new line setup gets written up the way your shop already documents it. Another summarizes a thick spec or an incoming RFQ down to the points a quoting engineer actually needs. People save reusable routines, so nobody rebuilds the same setup twice and a good prompt becomes a shared tool. 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.

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. So when it drafts that work instruction, it pulls from your real format and your real reference material, not a generic version it invented. Your systems stay yours. The connection runs on your terms, and you decide what it can reach.

You run it and you see everything

You manage who is in and which models each person can use. You set a spending limit per person so costs stay predictable. A dashboard shows real usage, so you know what is actually being run instead of guessing. People sign in with single sign-on. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. The data lives on your server, full stop. If you want the wider picture of a company-wide AI you host yourself, that path is the same one manufacturers take.

We help you put it in place

You do not set this up alone. We install kral with you, connect it to your systems, and advise on rolling AI out across the company without the data leaving your side. Implementation consulting is part of what we offer, so the local model, the connectors, and the access rules are configured to fit how your plant actually works.

Your designs and your process know-how are the business. They can stay on your server while your people still get a fast, modern AI to work with. That is the whole idea, and it is ready when you are.

Book a demo

Open the app