Factory OS by Grootan
AI agents for manufacturing Machine and ERP data in. Approved decisions out.
Approved · logged
Works with the ERP and business systems you already run
The problem
Your data sees trouble coming. Your decisions don't.
A motor drifts. A sensor sees it days before the breakdown.
Which orders are due, what's in stock, what can move.
- Unplanned downtime
- Late orders
- Emergency buying
How it works
One recommendation. One approval.
- 01Sees it early
Reads machines and your ERP together, in real time.
- 02Recommends a plan
Checked against your rules, with the reason written out.
- 03Your team approves
One tap. It becomes work in your ERP, and it's logged.
Product illustration
The modules
Seven modules and a Hub. Start with what one decision needs.
Reads machines and sensors live
Links your ERP and systems once
Holds your policies and manuals
AI agents that weigh options
Approvals become work orders
Ask anything in plain language
Shows what each decision saved
One login, approval rights by role
Where to start
Start with the decision that costs you most.
Pick one. We'll show you how Factory OS handles it on your data.
Plan the stop before the breakdown.
Vibration, temperature, run hours and maintenance history
When to stop, who fixes it, which spare to reserve
Your maintenance lead
Reorder on live use, not the last posting.
Real consumption, ERP stock, open orders and lead times
What to reorder, how much and from whom
Your procurement manager
When a line stops, move the order, not the date.
Line status, the production plan and order due dates
Which line or shift can take the order
Your planner or plant manager
Buy at the right moment, not in a panic.
Supplier prices, lead times and your demand plan
Buy now or wait, and from which supplier
Your procurement head
Who it's for
Built for the people who own the call.
Work with engineers, not a sales script.
The people on your first call are the people who build it. We start small, prove it on your data, then grow with you.
- Working session
We map one costly decision with your operations and IT leads.
- Proof on your data
A live recommendation built on your example data, for your team to test.
- Roll out
Add lines, plants and decisions when the first one earns its place.
Control
AI recommends. Your people decide.
Approval rights set by role
Policies, limits and budgets
Evidence and decision on record
Pauses when a data feed drops
Your ERP stays the system of record
FAQ
Questions plant and IT leaders ask first.
What are AI agents for manufacturing?
Software that watches live plant and business data, reasons about it against your rules and proposes what to do next.
In Factory OS, agents do the legwork: they spot the drift, pull the orders and stock it affects, check your policies and write up one plan with its reasons. They recommend. They don't act on their own.
How is this different from predictive maintenance or MES software?
Those tools are good at one job: watching machines, or running the shop floor. They usually stop at an alert or a dashboard.
Factory OS sits across them. It joins the machine signal with what your ERP knows (orders, stock, plans) and your rules, and turns that into one decision someone can approve. It can work alongside the tools you already have.
Does Factory OS replace our ERP?
No. Your ERP stays the system of record. Factory OS reads orders, stock and plans from it, and an approved decision goes back as normal work: a work order, a purchase request, a changed schedule.
Which ERPs does it work with?
It's built to work with the ERP you already run, including SAP, Oracle, Microsoft Dynamics, Odoo, Sage and Zoho, and with CRM data from Salesforce.
Tell us what you run, including any in-house systems, and we'll walk through how Factory OS connects to it.
Will the AI make changes on its own?
No. Every recommendation waits for a person with the right approval rights. The Hub sets who can approve what, for example a maintenance lead for short stops and a plant manager for longer ones.
Each decision is logged with the evidence behind it and who approved it, so you can always see why something happened.
Can it run on-premise, and where does our data go?
You choose: your own cloud or fully on-premise. Your data stays where you deploy it. We'll walk through deployment, access and security with your IT team before anything is installed.
What if a sensor fails or data is missing?
The recommendation pauses until the data is back. Factory OS doesn't fill gaps with guesses, and it tells you which feed is missing.
How do we start, and what do you need from us?
One decision, one working session. Bring your operations and IT leads and an example of the decision that costs you most.
We map the systems, rules and approvals behind it, size what a delay costs today, and build a live recommendation on your example data for your team to test.
Bring one decision. Leave with a working recommendation.
A working session with the engineers who build Factory OS.
- Your decision, mappedThe systems, rules and approvals behind it
- The cost of delayWhat waiting hours or days costs you today
- A live recommendationOn your example data, for your team to test