IntelOPX turns what happens on your operations — hazards, defects, breakdowns, and line stoppages — into one connected system your team can act on in real time.
Each module solves a specific shop-floor problem — and every one feeds the same unified event backbone, so nothing gets lost between systems.
Mobile hazard and near-miss reporting with a live supervisor dashboard — from the floor to visibility in seconds.
See the business case →Every breakdown, request, and repair tracked by asset — so patterns are visible instead of repeating.
See the business case →Digital escalation for Safety, Quality, and Delivery signals — routed instantly to the right owner.
Defect and rework tracking tied back to root cause — so every quality event ends in a fix, not just another inspection log.
See the business case →Real screens from the IntelOPX platform, running as "Atlas Assembly Limited" — a sample account with live Safety, Maintenance, Quality, and Andon data flowing through one system.
Sample data shown. Demo environment, not a live customer account.
Not features for features' sake — each module maps to a cost or risk that's already sitting on your floor today.
Hazards and near-misses get logged on paper, told to a supervisor in passing, or not reported at all. By the time anyone reviews it, the shift — and the context — is gone.
A guided 3-step mobile flow lets any worker report a hazard in under a minute, landing instantly on a supervisor dashboard organized by area, shift, and hazard type. From there, IntelOPX's AI goes beyond visibility — analyzing hazard patterns across the floor and generating a targeted action plan. For example, flagging a cluster of hand-related near-misses on a specific line and prescribing the guarding, PPE, or work-instruction change most likely to reduce hand injuries.
Faster visibility into hazards is one of the few levers a plant fully controls. It turns a compliance chore into a leading indicator — and leaves you with an audit-ready record the moment anyone asks for one.
A machine issue gets reported verbally or scribbled on a whiteboard. The same failure repeats because nobody connected today's breakdown to last month's.
Every maintenance request lives in the same event system as safety and andon data — submitted from the floor, routed to the right technician, and tracked to resolution with full asset history. IntelOPX's AI then analyzes repeat-failure patterns by asset, and when a specific machine's downtime crosses the point where another repair no longer makes sense, it surfaces the permanent replacement opportunity — with the downtime and cost trend behind the recommendation.
Unplanned downtime is one of the most expensive line items a plant carries. A searchable maintenance history turns reactive firefighting into a pattern you can fix at the root cause.
When something stops the line, escalation depends on who happens to be walking by. Andon lights alert the room, but leadership one floor up hears about it at the next meeting.
Digital andon triggers route instantly to the right owner based on signal type, with escalation timers so nothing sits unaddressed. IntelOPX's AI also watches for micro-stoppages — the short interruptions too brief to trigger a work order but frequent enough to erode output — and drafts the specific standard work change needed to eliminate that stoppage at its source.
The cost of a stoppage compounds with every minute it takes to reach the right person. A safety issue reaches EHS, a quality issue reaches quality, a delivery risk reaches the scheduler — immediately, not eventually.
Quality issues get logged on a scrap tag or in a logbook, but nobody connects today's defect back to the root cause that caused it last time. The same problem gets caught in inspection — and then caught again next month.
Every quality event lands in the same unified system as safety, maintenance, and andon data — tied to line, shift, and root cause. IntelOPX's AI then traces recurring defect patterns back to their root cause and drafts the specific standard work update needed to close it for good.
Scrap and rework are often the least-tracked cost on a plant floor. Turning defect data into a standard work fix — instead of another inspection step — is how the repeat-defect rate actually comes down.
Safety, maintenance, andon, and quality signals aren't four separate tools bolted together — they share one data model, one dashboard, and one history, by design.
Most shop-floor systems stop at a dashboard. IntelOPX's AI goes a step further — it reads the pattern across every safety, quality, maintenance, and andon event, and hands your team a specific, executable plan instead of another chart to interpret.
Safety, quality, maintenance, and andon signals land in one system, the moment they happen — no gaps between shifts or tools.
The model looks across every recorded event by area, asset, and shift to find what's actually driving repeat problems.
Not just an alert — a specific, ready-to-run recommendation your team can act on the same shift.
A real AI Insights panel from the platform — this is what an executable plan actually looks like.
20 quick questions across AI readiness, safety, quality, and maintenance — with a scored read on where your operation stands and what to fix first.
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