AI governance for manufacturers that keeps your know-how yours
The problem
Your know-how is one paste away
The data that makes your product yours is exactly what engineers paste into AI to solve a problem fast.
- 01
Process parameters in prompts
Recipes, tolerances and machine settings travel with every fault log pasted into a chatbot.
- 02
Supplier prices and drawings
Purchasing and engineering share price lists and specifications with AI to compare and summarize.
- 03
AI from the office to the shop floor
AI tools run on shop-floor PCs and inside the software that runs the plant, often unseen by IT.
Use case · Manufacturing
11:20 · A line stops
One stopped line, at a manufacturing plant
An illustrative example: what each agent does, step by step.
- 1inventory, office to shop floor
01ARGUS · Discover
AI on every floor
ARGUS keeps one inventory of the AI in use across offices, engineering workstations and shop-floor PCs, and the AI inside your SaaS, approved or not.
- 0process values sent to the AI provider
02TALOS · Protect
The know-how stays home
A process engineer pastes the machine's fault log into ChatGPT, with the line's parameters and a supplier's price list, to find the root cause. TALOS masks the parameters, the supplier and the prices; the answer comes back whole on the engineer's screen.
- 1 linkto share the evidence, read-only
03ATHENA · Prove
Ready for the customer audit
Every request is a sealed record, so when a customer's audit asks how AI touches their designs, you show it instead of promising it.
- THEMISSystem One² AI model
Under every step · Decide
THEMIS told the line's parameters and the supplier's prices from the rest of the fault log.
Ready to keep your know-how out of public AI?
Your engineers keep their AI.
Your know-how stays yours.
- Any AI tool
- Prompts never stored
- Live in 5 minutes
Colchix governs the AI tools your teams already use, among them ChatGPT, Claude, Gemini, Microsoft Copilot, Cursor, Mistral, Perplexity, DeepSeek, GitHub Copilot, Grok, Notion AI, Hugging Face, Meta AI, Qwen, Ollama.
Manufacturing FAQs
What manufacturing teams ask about governing AI with Colchix.
What counts as know-how for TALOS?
Process parameters, recipes, tolerances, supplier names and prices, part numbers and any other confidential data you define. THEMIS judges it in context, and you can add your own lists, such as suppliers or product codenames, with no retraining.
Explore TALOSDoes Colchix see shop-floor PCs?
Yes, wherever its light local agent or browser extension is installed: office laptops, engineering workstations and shop-floor PCs alike. ARGUS also finds the AI built into the SaaS you use.
Will engineers have to stop using ChatGPT?
No. They keep the AI tools they use; Colchix masks what's confidential at runtime, and the answer comes back with the real values on their screen.
How does it help with customer audits?
ATHENA turns AI activity into sealed audit trails, mapped to frameworks such as ISO/IEC 42001 and the EU AI Act, ready to share with a customer as evidence.
Explore ATHENAAre prompts stored?
No. Prompts are never stored. ATHENA keeps counts and categories as audit evidence, never the values themselves, and your data is hosted in your region.
What is THEMIS?
THEMIS is Colchix's System One² AI model, the judgement under ARGUS, TALOS and ATHENA: it decides what's sensitive, names the AI tools nobody knew about and files each record under the rule it proves, in milliseconds and on your rules. In the manufacturing example on this page, it told the line's parameters and the supplier's prices from the rest of the fault log.
Explore THEMISAsk AI about Colchix for manufacturing
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