Reimagine Predictive Maintenance with Sensor Fusion for Superb
Failure Coverage and Root Cause Analysis.
DataMind AI™ is an end-to-end predictive intelligence platform designed to protect every critical asset – across mobile fleets, fixed assets, and AI-powered visual monitoring systems.
Predict critical fleet failures weeks early using predictive failure analysis.
Eliminate costly asset risks with deep sensor fusion analysis.
Detect critical hazards instantly with industrial computer vision.
Razor Labs is revolutionizing the mining industry with DataMind AI™, a cutting-edge all-in-one predictive maintenance solution that reduce unplanned shutdowns, boost productivity, and improve staff safety.
Cutting-edge technology fusing data from a diverse suite of sensors, condition reports, and maintenance records to deliver comprehensive failure coverage and precise diagnostics.
A comprehensive hardware offering for full 24/7 site coverage, connected on a separate network to avoid cyber risks.
Our top-notch SMEs bring 200+ years of ConMon experience and deep mining knowledge, delivering dedicated 24/7 support.
Trusted by leading mining companies worldwide, our solutions are deployed across industrial environments and backed by local teams and partners.
Streamline operations with real-time equipment insights and precise failure diagnostics, enabling proactive maintenance and maximizing equipment reliability while reducing operational costs.
Planned/ Unplanned Maintenance Ratio
“By providing early warnings and actionable insights, we aim to prevent equipment failures before they occur, significantly reducing unplanned downtime and maintenance costs. DataMind AI™ also helps us maintain a safer working environment by minimizing the need for manual inspections in hazardous areas. ”
“The major shift is from unplanned to planned maintenance. Being able to take those unplanned maintenance events out of the picture, in some cases, you might be able to achieve that 100% or to reduce them. You save both the cost of lost revenue, which has a huge impact on your NPV, as well as the cost, the avoidance of component costs as well.”
“We are anticipating that following a successful pilot with Razor Labs we can help improve efficiency by using data analysis solutions as part of the operation & maintenance activities.”
“The Datamind AI platform complements our existing asset management, downtime detection and conditional monitoring systems and seamlessly integrates with our existing historian data. The implementation of the Razor Labs solution is utilizing AI to reduce the time our maintenance staff is manually monitoring and reporting the condition of our critical processing assets and in return extending the lifespan of our equipment.”
“We’ve focused on creating diagonal capabilities around advanced analytics, over time they’ve become business outcomes.”
“We were struggling with recurring bearing failures in one of our crushers. DataMind AI correlated vibration and oil data to identify the root cause: lubricant incompatibility. Since switching to the correct oil, the failures have stopped, and the equipment has remained stable.”
“DataMind AI has been a valuable tool for our operation. It has helped us minimize unplanned downtime, boost the reliability of our assets, increase throughput, and reduce the need for costly parts replacements.”
“Machine failures are one of our water desalination plant’s most acute operational challenges. That is why we have partnered with Razor Labs to install their DataMind AI™ predictive maintenance solution at our plant.
The ability to install sensors and get access to data that wasn’t viable until now will be invaluable and can provide a broad set of insights for our operational needs and reliability prediction.”
“Razor Labs’ ability to take OT data, analyze it, get to root cause analysis, and ultimately provide a recommendation for the operator—is absolutely key. It significantly reduces the time needed, minimizes human errors, and gets us to a solution more quickly. This innovation is invaluable in a world with fewer labor resources and greatly enhances safety.”
“Out of 20 pumps on site, 6 were scheduled for replacement over the past six months.
Thanks to DataMind AI, none were replaced. We avoided downtime and saved $500,000 in replacement costs only.”
“For years we’ve been trying to figure out how to apply machine learning and AI to the way our coal miners operate, but we have not truly cracked this. When Razor Labs reached out and joined our fold, we were finally able to say: here is a partner with whom we can do some exciting work, and get a better understanding of how machine learning works and how you apply such technology to improve our efficiencies. For us to execute those things, we need partners – and in its 26 years of existence, Coaltech has always relied on partners like yourself. This really allows us to have a good goal in the AI and ML space, and see what comes.”
“DataMind AI™ picked up structural looseness on Drives A and B of an apron feeder before it became a bigger problem.
When we inspected the unit, we found loose motor base bolts and vibration.
The alert was accurate. Catching issues this early makes a real difference for us.”
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Newsweek AI Awards
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The most innovative industrial tech company
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