For Maintenance Teams

FIX MAINTENANCE
BEFORE IT COSTS YOU
A DELIVERY.

Maintenance teams need more than scheduled PMs. Real-time machine data helps them catch issues earlier, trigger the right work automatically, and reduce unplanned downtime before it hits production.

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TRUSTED BY MANUFACTURING LEADERS

THE PROBLEM

TODAY'S MAINTENANCE GETS IT WRONG TWICE.

Time-based schedules service machines that were running fine and miss the ones that weren’t, so you pay for both — the PM nobody needed and the breakdown you didn’t avoid. The first notice of a developing condition is usually the failure itself, called in by radio and repaired under production pressure. What maintenance needs is the condition watched continuously, with a limit and an action attached to it.

MAINTENANCE SHOULDN’T START WHEN THE MACHINE STOPS.

COVERAGE BY TRIAGE

High machine-to-technician ratios mean anything that isn’t screaming waits. Scarce wrench time goes to whatever is loudest rather than whatever is costliest.

MAINTENANCE LEARNS LAST

Requests travel by foot and memory, priorities get argued instead of routed, and production and maintenance keep separate versions of the truth.

NO DATA TO DEFEND DECISIONS

PM interval changes, staffing requests, and repair-versus-replace calls are made on impressions — and challenged on impressions.

WATCH IT. ROUTE IT.
PREVENT IT. PROVE IT.

Harness the power of machine data to keep your equipment running longer and healthier. MaximaOS monitors the condition of equipment in real-time and automatically triggers maintenance activities for your team to take action on.

Pull health data from the controls you have.

Read temperatures, loads, speeds, power, and coolant parameters straight from the machine, with no added hardware for anything the control already reports. Add IO-Link sensors for vibration, pressure, flow, and level where the controller can’t see, without a systems integrator.

See condition data sources

Trigger condition-based maintenance on real thresholds.

Set upper and lower limits on any monitored value, tuned per machine, and watch conditions continuously through nights, weekends, and lights-out hours. See patterns developing on live trends before anything breaches — no failure history, no data science project, protection from the day thresholds go in.

See condition monitoring

Drive PMs with live meters in your CMMS.

Discover and map CMMS assets to your machines automatically, then sync in-cycle hours and cycle counts as meters so preventive maintenance fires on real usage instead of a date. Route condition breaches by machine and duration to the technician who can act, escalate what goes unresolved, and generate the work order itself.

See CMMS integration

Prevent crashes with tool anomaly detection.

Learn each operation’s normal tool load in a few cycles and catch wear, chipping, or breakage the moment behavior deviates. Hold the feed before a failing tool cascades into the spindle, workholding, and fixture — the catastrophic failures that take a machine out for weeks.

See machine protection

Troubleshoot with the machine’s own history.

Replay any machine minute by minute, with condition values, alarms, loads, program state, and downtime on a single timeline. Zoom from a quarter down to the moments before a failure and see what actually preceded it, from home at 2 a.m. or at the machine the next morning.

See the machine timeline

Separate maintenance downtime from everyone else’s.

Attribute every stoppage to its cause, so the department stops wearing downtime that was material, setup, or scheduling. Rank chronic failures by machine and cause, priced in lost production value — the language that wins the staffing request and the rebuild.

See downtime analysis

See It In Action

DNP replaced paper downtime reports with a three-click request from the machine, and moved service onto what the equipment was actually reporting. Asset availability rose 17%. THREE CLICKS, NOT A PAPER FORM.

TESTIMONIALS

THEY STOPPED FINDING OUT WHEN IT STOPPED.

Maintenance teams servicing equipment on usage instead of the calendar, and defending their decisions with numbers.

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FIXED BEFORE THE SHIFT ARRIVED.

"I know even when my night shift guys are having a problem, when I wake up in the morning, I go through that, and then I go and address those things. So when they come in the next shift, the following day, I've already fixed it, because I have maintenance and other things at my disposal."

- Efren Escobar, ABACORP

THEY ACT BEFORE THE SHIFT ENDS.

"We can now see weekly data and track our OEE. That's something we didn't have before. We're using that data to give better reasons for solving machine issues." And: "We can act before the end of the shift."

- Mauro Francisco, Senior Process Engineer