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A breakdown on a job site doesn’t just cost you the repair. It costs you the crew standing around waiting, the schedule that slips, and the GC conversation you don’t want to have.

The Problem.

Most contractors maintain equipment one of two ways. The first is reactive — you fix it when it breaks. The second is calendar-based — you service it every six months whether it needs it or not, and hope nothing goes wrong in between.

Neither approach gives you any warning. With reactive maintenance, the first sign of a problem is a piece of equipment that won’t start at 6 AM on a job where you needed it running by 7. With calendar-based maintenance, you’re servicing on a schedule that has nothing to do with how hard the equipment has actually been working.

The industry loses an estimated $50 billion a year to unexpected equipment failures. That’s not a small number — and most of it is preventable.

What We Do

We set up a predictive maintenance system that monitors your equipment’s actual operating condition and alerts you to developing problems before they become breakdowns.

Sensors track engine hours, temperature, pressure, vibration, and other indicators of equipment health. When the data shows a pattern that historically precedes a failure — an oil pressure trend, a temperature spike, unusual vibration — you get an alert with enough lead time to schedule the repair during planned downtime, not at 6 AM on a job site.

Maintenance gets scheduled based on actual equipment condition and hours logged — not a calendar. That means you’re not over-servicing equipment that doesn’t need it and under-servicing equipment that’s been pushed hard on a demanding job.

What Changes

70% reduction in unexpected breakdowns 30 days advance warning on developing failures 35% decrease in total maintenance costs

• Equipment problems flagged weeks before they become breakdowns
• Maintenance scheduled during planned downtime — not as emergency repairs on a job site
• Service intervals based on actual operating hours and condition — not the calendar
• Maintenance history centralized — every piece of equipment, every service record, in one place
• Repair vs replace decisions based on real cost data, not guesswork

Real Result

HOLT CAT deployed predictive maintenance monitoring across their Caterpillar heavy equipment fleet. The system predicted failures 30 days in advance, achieved a 5-to-1 ROI on the maintenance investment, and saved over $2 million in potential downtime costs annually.

Who This Is For

• You’ve had an equipment failure on a job site that shut down a crew and cost you significantly more than the repair bill
• You service equipment on a calendar schedule but still get surprised by breakdowns
• Your maintenance records are scattered — paper logs, memory, different systems for different machines
• You have no way of knowing which piece of equipment is most likely to go down next month