AI that tells a plant why it lost time, before the shift report is written
MornningStar builds AI for manufacturers that reads the data a plant already records and explains lost time in plain language. Maintenance work is drafted before the problem repeats.
Four things that change first
Production, downtime, quality and maintenance. We start where the payback is fastest and build from there.
- See downtime by real cause, not by stop code, with the evidence attached
- Catch quality drift during the run instead of at the end of the batch
- Draft maintenance tickets automatically when a fault repeats
- Let shift leads ask the plant questions in plain language and get answers from the data
Find, build, run for manufacturing
01Find
We walk the floor, sit with shift leads and maintenance, and map where hours and yield are lost across lines and sites.
In practiceThree days on the floor across shifts, plus MES and maintenance logs.
02Build
Connect MES, SCADA and the maintenance system, build the live plant view and the alerts, and test them against real shifts.
In practiceA live plant view, downtime alerts the crew trusts, a shift handover summary.
03Run
Pilot on one line with the crew that runs it, tune the alerts until they trust them, then extend line by line.
In practiceOne line with its crew for a month, then line by line.
Where AI pays off in manufacturing
Production intelligence
OEE, status and an hour-by-hour timeline for every line, with downtime grouped by real cause. The shift review starts from facts.
Quality drift detection
Fill weights, temperatures and reject rates watched continuously. A warning when a value trends towards the limit, not after it crosses.
Maintenance from patterns
Repeat faults spotted across shifts and SKUs, tickets drafted with the history attached, ready for approval.
Shift handover notes
A written handover generated from what actually happened, so the next crew starts with the full picture.
Material and expiry tracking
Lots and expiry dates read from delivery documents and matched to the schedule, so nothing is quarantined by surprise.
Ask the plant
“Why was Line B slow last night?” answered from the data in seconds, with the numbers behind the answer.
Why we are a good fit for manufacturing
We build production tools the way we build everything else: connected to what you already run, tested with the people who use it, and explainable. Every flag shows its evidence, because a maintenance team will not act on a black box.
Measured on your numbers
Every project is tied to hours saved, money recovered or sales made. If we cannot name the number, we do not start.
Built on what you already run
We connect to your shop, CRM, accounts and messaging tools. No rip-and-replace, no new platform to buy.
One team, start to finish
The people who find the opportunity are the people who build it and run it with your team. Nothing is lost in handover.
Small first, then scale
A working version in weeks, tested on real work, then widened once it proves itself. No six-month plans.
Safe by design
Clear limits on what AI may do alone, every action logged, and a person in the loop for the hard cases.
Yours to keep
Everything runs in your accounts and your region, documented and handed over. When we leave, it keeps working.
Work that is live, not slides
Client names are kept private at their request; the detail behind each project is something we walk you through on a call.
See why a line slowed down before the shift report is written
Downtime explained by cause, in minutes
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A trust score out of 100 for every loan document
Score with reasons, not a black box
Read case study →Tell us what slows your business down
Thirty minutes on a video call. We will tell you honestly whether AI can help, what it would take, and roughly what it would cost. No slides. No hard sell.