DataMind AI™ – Vibration Analysis System that detects hidden faults in mining equipment
DataMind AI™ by Razor Labs brings smarter vibration analysis to mining – helping teams detect hidden faults and take action before failures happen.
Why Leading Mining Sites Choose DataMind AI™:
Reduce Maintenance Costs and Downtime
Detect mechanical faults like bearing wear, misalignment, imbalance, and gear defects up to 30 days in advance – even under variable load and speed.
Prevent Catastrophic Failures
Real-time vibration analysis with envelope demodulation captures even weak fault signals in noisy environments like mills, crushers, and conveyors.
Streamline Maintenance with AI Diagnostics
DataMind AI™ automatically identifies the fault type, location, and severity – giving your team clear, actionable guidance with no manual interpretation.
Improve Equipment Reliability and Performance
Continuously monitor vibration and performance across mills, crushers, pumps, compressors, fans, and other critical rotating assets.
Eliminate False Alarms with Sensor Fusion
By combining vibration, current, oil, temperature, pressure, and visual data, DataMind AI™ provides high-confidence alerts based on actual failure modes.
Works Anywhere – No IT Overhead
Industrial-grade sensors built for harsh conditions
Cellular edge gateways – no reliance on plant network
Secure, cloud-based analysis with automated updates
Used and trusted by
Testimonials
“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. ”
John Stewart
Chief Engineering & Reliability. SIMEC Mining
“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.”
Doron Slutzkin
Glencore’s Head of Business Transformation and Technology
“We were amazed when DataMind AI not only indicated a bearing failure in one of our crushers, but that it was caused by the use of incompatible oil. Having switched to the correct type of oil, the bearing failures stopped altogether.”
Superintendent Maintenance
Copper Mine, WA
“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.”
Senior Reliability Engineer
Iron Ore Mining Site
“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.”
General Manager
Major Coal Mining Site, South Africa
Industry Awards
WINNER
GLOBEE® Awards
AI in Predictive Analytics
WINNER
Innovation Equipment Diagnostics
WINNER
Industrial IoT
Product of the Year
WINNER
Silver GLOBEE®
Digital Transformation
WINNER
The most innovative industrial tech company
WINNER
R&D, Safety,
Innovation
Why Razor Labs
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.
AI Sensor Fusion
Cutting-edge technology fusing data from a diverse suite of sensors, condition reports, and maintenance records to deliver comprehensive failure coverage and precise diagnostics.
Sensors
A comprehensive hardware offering for full 24/7 site coverage, connected on a separate network to avoid cyber risks.
Industry Expertise
Our top-notch SMEs bring 200+ years of ConMon experience and deep mining knowledge, delivering dedicated 24/7 support.
Global Presence
Trusted by leading mining companies worldwide, our solutions are deployed across industrial environments and backed by local teams and partners.