Manufacturing
Manufacturing & Industrial.Decades of maintenance logs, finally searchable.
Fine-tune on equipment manuals, maintenance history, SOPs and shift handover notes to build assistants that answer plant-floor questions in your own terminology — deployable air-gapped, with no dependency on an external API.
- Train and run on your own hardwareSelf-host
- Once trained, runs fully offlineOffline
- Model weights, exportableYours
The problem
Institutional knowledge sits in PDFs, spreadsheets and the heads of engineers who are retiring. Generic models do not know your part numbers, and many plants cannot reach the public internet at all.
How Langtrain helps
Purpose-built for Manufacturing.
Tribal Knowledge Capture
Ingest work orders, fault codes and handover notes so the reasoning of retiring engineers survives their last shift.
Air-Gapped Deployment
Once trained, open-weights models run entirely inside the plant network, with no internet connection.
Your Part Numbers
Fine-tuned on your own BOMs and equipment registry, so internal designations resolve correctly instead of being guessed at.
Guided Troubleshooting
Walk a technician through a diagnostic tree grounded in the actual manual and the history of that specific asset.
Connects To Your Systems
Call the model from your maintenance software through the API, so answers can use the asset data you pass in.
Applications
What teams actually build.
- 01
Shift Handover Summaries
Turn a shift's worth of logs and alarms into a structured handover brief the incoming supervisor can read at a glance.
- 02
Fault Code Assistant
A technician enters an alarm code and gets the likely causes ranked by what actually fixed it on this asset historically.
- 03
SOP Question Answering
Answer procedural questions with a citation to the controlled document and revision number, so compliance is auditable.
- 04
Spare Parts Reasoning
Resolve "what is compatible with this pump" across supplier catalogues and your own approved-parts list.
Check it first
Don't take our word for it. Test it on your own cases.
- 01
Hold back real cases
Keep 50 to 100 real examples out of the training data, with the answers you would accept.
- 02
Ask both models
Put the same questions to the base model and to your fine-tune, and read the answers side by side.
- 03
Have an expert review
Before anything ships, a maintenance engineer checks the answers and decides whether it is good enough.
How to run it: the quick start
No certifications yet: we have not completed a SOC 2 or ISO 27001 audit. For regulated data, train in your own environment.
Ready for Manufacturing?Start with your own data.
Talk to us, or start fine-tuning on the free plan.