A leaked script or an early cut can sink a release, and a public chatbot is one paste away from being that leak. Your team writes a scene, pastes it in to tighten the dialogue, and that text now lives on a server you do not own, in a country you did not choose. You cannot see it, recall it, or prove it was deleted.
There is a way to give your people a strong AI without handing your work to a stranger. Keep the model on your side. Keep the unreleased material where it belongs, behind your own walls, under your own eyes.
Why a public cloud chatbot clashes with film and VFX studios
A studio lives and dies by what has not shipped yet. Draft scripts, storyboards, plate scans, early cuts, the look of a character nobody has seen. Paste any of that into a public chatbot and it leaves your building. It travels to a vendor cloud, often in another country, and you have no real picture of where it sits or who can reach it. One careless paste during a tight week can do the damage.
Banning AI is not the answer, because the ban does not hold. Your artists and writers already use these tools at home and on their phones. Tell them no and they route around you, quietly, with the most sensitive material of all. The honest move is to give them something better that you actually control.
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 an unreleased script goes to your machine and stops there. No external API sits in that path. The text never crosses your firewall.
Most studios mix the two. A cloud model handles the general work, drafting an email, cleaning up a call sheet, answering a quick question. A local model handles the sensitive cases, the script pages and the shot notes that can never leave. Same workspace, your call on what goes where.
A full workspace, not a chat box
kral is a place your team works, not a single text box. People can build their own assistants in minutes with no code. One artist might set up an assistant that drafts shot or scene breakdowns from a sequence description. A coordinator might build one that summarizes production notes into a clean recap the floor can read in a minute. Once a setup works, save it as a reusable routine so nobody rebuilds the same thing twice.
There is more in reach without leaving the page. Drop in a document and ask questions about it. Pull a current, cited answer from the web when you need an outside fact. Switch between the leading models in one click when one fits the job better than another.
Connect your own systems
Your assistants are far more useful when they know your world instead of guessing from the open web. kral supports MCP, the open standard for connecting tools and data to an AI. Through a connector you control, an assistant can work with your own breakdown templates, your naming conventions, your internal knowledge. It answers from your material, not from a stranger's best guess. Your systems stay yours.
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 instead of guessing. Sign-in goes through single sign-on, so access matches the people you already trust.
It installs on Windows Server behind IIS and sits inside your network, behind your firewall, in your own branding. This is the same approach as a company-wide AI you host yourself, shaped for a studio.
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 team 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 working before your people touch it.
Your unreleased work is the asset. Give your team a capable AI and let the sensitive material stay on your own server, on your own terms.
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