Fewer defects, tighter margins, planned downtime. Palmpixel helps factories and process manufacturers adopt AI on the floor — practically, not theoretically.
These are the patterns we see in every manufacturing business we audit — the AED value hidden in plain sight.
QC inspects at the end of line. By then, 8 hours of bad units are already boxed.
Preventive maintenance done on the calendar, not on the machine's condition. Mid-shift breakdowns.
Which order runs next? Who decides? Result: bottlenecks, expedites, angry customers.
Traditional playbooks still work — until they don't. AI doesn't replace the team; it removes the drag on the team.
Same disciplined playbook across every industry. Just this one, tuned to yours.
One-week floor audit: defect rate, downtime, OEE, and where AED margin is leaking.
One line, one AI use-case first — usually vision QC or predictive maintenance. Live in 30 days.
Extend line by line, backed by ROI numbers your CFO can sign off on.
Ranges are conservative — measured across engagements in the last 24 months. Your exact numbers come out of the free audit.
Names generalized, numbers real — the full case study is in Case Studies.
Their sealing line was rejecting 6.4% of packs — but only at final inspection, when the batch was already boxed. Two unplanned breakdowns per month cost AED 90k each in lost shifts. Scheduling was a whiteboard war every morning.
We installed vision QC at the sealing station — every pack scored in 200 ms, out-of-tolerance units diverted before boxing. Vibration sensors + current signatures on the two most expensive motors gave 72-hour failure warnings. An AI scheduler proposed daily runs optimized for margin and urgency. All decisions still made by humans; AI proposed, they approved.
Get in touch and we'll map where AI will and won't help your manufacturing business — with ROI in AED.
