S-LLM · Local LLM engine
A work chatbot that keeps company data in-house
A language model running on your own hardware finds data in your ERP and business systems through conversation. Questions and data never go to an outside AI service, so it fits manufacturing, defense and distribution sites where security comes first.
- Runs in-house; company data is not sent to outside AI services
- Query ERP, purchasing, ledgers, sales and production from one chat
- Picks the right system from the question itself
- Remembers earlier filters for follow-up questions
- Shows only the systems each account may access
Why run AI in-house
| Data security | Questions and business data are processed only on company hardware. No outside AI terms or data-export reviews. |
|---|---|
| Running cost | No per-question fees to an outside AI. The cost stays the same however much staff ask. |
| Connected systems | ERP, purchasing and supply chain (ERIGO), purchase ledgers, sales and production. Customer systems are added as new sources. |
| Answer quality | Each connected system is checked and tuned with about 1,000 multi-turn test conversations. |
| Scope | Queries stay within the tasks set for each system, and systems an account cannot access stay hidden. |
From question to answer
Ask in plain words
"Show this month's flounder purchase price."
Pick the system
The question decides whether to look at ERP, ledgers or production.
Look up the data
Within the set scope and the account's permissions.
Follow up
"Only the ones that went up" keeps the earlier filters.
Built for
| Defense and aerospace | Sites that cannot upload drawings, item or supplier data to outside services |
|---|---|
| Seafood and food distribution | Teams that ask different people for purchase prices, branch sales and output |
| Mid-sized firms with many systems | Companies switching between ERP, purchasing and production screens |