Detect equipment failures weeks before your OEM alarm fires - and know exactly why.
Our team installs the Razor Labs datalogger onto your existing fleet - works with any OEM, any equipment. No new sensors, no changes to your operations.
DataMind AI analyzes 10,000+ data points per second using pre-built models for all major mining equipment - finding failure patterns your team can't see.
Get a clear diagnosis - root cause, severity, and recommended action - delivered to your maintenance system. Ready to act before the failure happens.
Reliability engineers who deploy DataMind AI don't just reduce downtime - they go from reacting to problems to preventing them before they occur.
Your team stops chasing breakdowns and starts preventing them. Every fault caught early is a decision you made - not a disaster you managed.
No more gut-feel calls. Every AI alert, intervention, and outcome is logged. When management asks why maintenance spend went up, you have the answer - and the proof.
Threshold alerts fire when it's already too late. DataMind AI finds failure signatures weeks before any alarm triggers.
Predictive programs shift work to planned windows. Your engineers respond to scheduled maintenance orders - not emergency breakdowns at the worst possible time.
"We caught this failure 3 weeks before it happened." That story - documented, repeatable, defensible - is how you build a maintenance program that gets budget approved.
One Razor Labs datalogger per vehicle - installed fast with no new sensors and no changes to your OT environment. Findings delivered straight to your existing CMMS.
DataMind AI found the fault the data was hiding. Our team couldn't have caught it in time - the system did. That's what real predictive maintenance looks like - you see it before it costs you.
See exactly how DataMind AI works on your fleet.
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