A company-wide AI workspace for logistics and freight

A backlog of shipping queries does not need five separate AI tools, it needs one your team can actually use and you can actually see. Right now the people working your loads are already pasting tracking numbers, customer names, and exception notes into whatever public chatbot is open in the next tab, and you are paying per seat for a US cloud you have no way to govern.

That is shadow AI, and it is scattered: a different tool on every desk, no central view, and your shipment data leaving the building one prompt at a time. There is a way to give the team something better and put yourself back in charge of where the data goes and what it costs.

Why a public cloud chatbot is the wrong place for shipment and customer data

A consumer chatbot in a US data center was never built for a freight desk. When a dispatcher pastes a manifest or a customer dispute into it, that text lands on someone else's servers, under someone else's terms, with no record on your side of who sent what. For a business that moves other companies' goods and holds their delivery details, that is a hard problem to explain to a client who asks where their information went.

Banning AI does not fix it. Your staff already use it, because it saves them real time on real work. Block the official tool and they switch to a personal account on their phone, and now you have less visibility, not more. The answer is not less AI. It is AI you control.

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 customer's shipment goes to your machine and stops there, with no external API anywhere in the path. The sensitive question never leaves the building. Most teams run it as a mix: a strong cloud model for general drafting and research, and a local model for the cases where the data must not go out. You decide which work goes where, not a vendor's default.

A full workspace, not a chat box

Your team gets more than a single prompt window. In a few minutes, with no code, anyone can build their own assistant: one that drafts customer status updates in your tone, another that reads a messy exception report and summarizes the shipment exception into a clear note for the account manager. Useful setups can be saved as reusable routines, so the night dispatcher is not rebuilding the same thing the day shift already made. Drop in a rate sheet or a bill of lading and ask questions about it. Pull a current, cited answer from the web when you need to check a port or a carrier. Switch between the leading models in one click, depending on the job.

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 your internal knowledge instead of guessing from the open web. That means status updates that match your actual format and answers grounded in your own operating procedures. Your systems stay yours, and the connection runs on terms you set.

You run it and you see everything

You manage who is in and which models each person can use. Set a spending limit per person so AI cost stays predictable instead of arriving as a surprise invoice. Watch real usage on a dashboard, by user and by model, so you always know what is being spent and on what. Single sign-on keeps access tidy. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. If you want the wider case for that approach, here is how company-wide AI you host yourself changes the math on cost and control.

We help you put it in place

You do not have to stand this up alone. We set kral up with you, connect it to your systems through MCP, and advise on rolling AI out across dispatch, customer service, and operations 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.

Give your people one AI they can actually use, keep the shipment and customer data on your server, and know to the cent what it costs. That is the trade you have been waiting for.

Book a demo

Open the app