About PredictMX
PredictMX enables companies to make informed decisions about the operational readiness and maintenance needs of their mobile equipment. Our rugged electronics and web-based software capture and interpret operational data in real time, providing actionable insights that reduce on-the-job failures and maintenance costs while also extending the life of assets.
We capture the true condition of a unit using data from sensors already on the equipment today. Our rugged electronics which mount to a unit use machine learning to analyze the available data whenever the equipment is running, looking for specific changes in conditions that warrant attention. Alerts are wirelessly transmitted off the unit so that supervisors on location and managers in the office can make informed, condition based decisions, in real time. This represents a major leap forward in how operational readiness and maintenance is managed today. In addition, our product seamlessly integrates into a company’s current maintenance process, allowing them to continue using their existing systems. We work in the background to make their current process smarter.
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11-50 employees
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Software Development
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2017
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Reliability, Maintenance, Predictive Maintenance, Big Data, Machine Learning, Condition Based Maintenance, Operational Readiness
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