Predictive Maintenance
Know a machine will fail before it does.
AI flags equipment breakdowns before they happen, so you schedule maintenance instead of reacting to downtime.
The Problem
Machines break down with zero warning, and the line stops.
No Status Visibility
0%
of manufacturers run on delayed data
Machines break down with zero warning, stopping the line for hours or days.
No Status Visibility
0%
of manufacturers run on delayed data
Maintenance happens on a fixed schedule regardless of actual equipment condition.
No Status Visibility
0%
of manufacturers run on delayed data
Nobody knows which machine is the next one likely to fail.
What's included
What's included.
Sensor & IoT Setup
Live data from the equipment that matters most.
Failure Prediction Models
Trained on your equipment's actual behaviour.
Maintenance Alerts
Warnings before failure, not after.
Downtime Dashboard
Risk and history visible on one screen.
Vs. Alternatives
Why not just use what everyone else uses?
Manual Spreadsheets
Reports compiled by hand, always at least a day behind reality.
Enterprise BI (Tableau, SAP Analytics)
Priced and built for large enterprise data teams, not a single plant.
Cluxn
Purpose-built dashboards and models connected directly to your real data.
Process
The timeline.
Weeks 1–2
Equipment Audit
Weeks 3–8
Sensor Deployment
Weeks 9–12
Model Training
Weeks 13–14
Alerts & Rollout
See It In Context
See Predictive Maintenance in context.
Proof
The result in practice.
Unplanned downtime reduced by flagging failure risk days in advance
Furnace failures stopped production with zero warning, each event costing a full shift of output.
Ironclad Castings
FAQ
Common questions.
Not always — some engagements start with data you already have. Where physical monitoring is needed, sensor deployment is scoped as part of the project.
Accuracy improves as models see more of your equipment's real behaviour. Most engagements start with a baseline model and refine it over 60–90 days.
The machines whose unplanned failure costs you the most in downtime or rework — the audit identifies these first.
Every engagement is scoped individually — machine count and sensor needs both affect cost. During your free assessment, we give you an exact number within 48 hours, not a guess.
Often Paired With
Explore more of Intelligence & Automation.
Ready to fix it?
One problem. Scoped in 4 weeks.
No pitch, no generic demo — a plan built around what's actually slowing you down.
Book a 30-Minute Call ↗30 minutes, straight to the fix. No sales script.