Norlan vs ChatGPT, Claude and Copilot
A general assistant answers the person asking. Norlan answers from the machine.
ChatGPT, Claude and Copilot are excellent at language and know nothing about your K4 relay. Norlan keeps what your team worked out on each machine and answers from it, with the page and the thread it came from.
False rejects after a format change
Metal detector MD-3000 · Berlin
Incident · 29 Jul
M. Solans · Maintenance · 06:48
T. Walker · Maintenance · 07:02
T. Walker · Maintenance · 08:26
Transcript · @Norlan I am standing in front of the MD-3000. Static weighing is spot on, but it drifts as soon as the line runs. What has been done here before?
Norlan · 08:27
On this model the belt slackens after a format change and the fault comes back within the hour if the K4 relay is not reseated. Munich hit the same thing in March; recalibrating without re-tensioning did not hold.
Manual · p. 42Munich · March
Side by side
A general assistant remembers a conversation. Norlan remembers the machine.
| Compared on | ChatGPT, Claude or Copilot | Norlan |
|---|---|---|
| What it knows | What you paste or upload, and the files your account can reach | The machine's record: manuals, closed threads, guides and field notes |
| Conversations | A chat about the topic, kept in someone's history | A live thread per incident that stays open across shifts until it is solved |
| Communication | One person and the assistant | The whole team in the thread — text, voice, photos — with Norlan in it |
| Guides | Writes a procedure if you ask, and it stays in that chat | Drafted from the closed thread, approved by a person, attached to the model |
| When the record has nothing | Answers anyway | Says so, and labels general trade knowledge as such |
| Security | Admin controls over accounts and the files they can reach | Your admin decides, by file name and by content, what never enters memory |
| AI models | The ones its vendor chooses | Not tied to one provider: the assistant your company allows can read from it |
| From model to unit | Not available | Knows the unit and its model; a fix on one reaches every unit like it |
| The manufacturer | Not available | Their engineer joins the thread you invite them to, and sees nothing else |
| Line workflows | Not available | Knows what feeds what on each line, and what no single manual says |
| Your installed base | Not available | Every machine, by location and model, imported from what you already have |
| Closing an incident | Not available | Proposes problem, cause and fix from the conversation; a technician confirms |
| Field notes | Not available | What the manual does not say, pinned to the unit and its model |
| Shift handover | Not available | What happened while you were away, from the shift's own activity |
| Running a guide | Not available | Step by step at the machine, with photos and readings where a step needs them |
When ChatGPT, Claude or Copilot is the right choice
Writing an email, summarising a report, translating a manual, or a one-off question that does not depend on your plant's history. They are the best tools there are for that, and nothing here asks you to give them up.
Use both
Product directionIf your company has standardised on ChatGPT, Claude or Copilot, Norlan can be the knowledge it reads from: the machine's record, its citations and your permissions. You keep the assistant; you gain the memory.
Norlan and ChatGPT, Claude or Copilot: questions we hear
Can't we just upload the manuals to a project?
Our IT only allows Copilot. Is that a problem?
Do you train on our data?
Book a demo
Bring the question you would ask your assistant. See what the machine's record answers.
We start with the operation — which failures repeat, who gets called when something breaks, what the CMMS does not hold — and then show how Norlan would work on it.
What we usually cover
- How an incident flows today, from detection to fix
- Where the conversation actually happens: the systems, or calls and WhatsApp
- What takes longer — the diagnosis, or getting the right people and information together
- How much of what a technician knows is written down, and what happens when they are away
- Which tools are really in play: CMMS, ERP, mobile, paper
- What a pilot would measure, and how
Pick a time that suits the plant. Bring one failure that keeps coming back.
The call is with the people who build the product, with no qualification call first. Norlan is pre-general-availability and shaped with maintenance teams in pharma and food processing.