Vibration Analysis in Mining: Why Going Beyond Traditional Methods Matters
Predictive maintenance is equipment maintenance that is based on the ability to predict equipment failures, by leveraging real-time data from various sensors and applying AI algorithms.
Razor Labs Q2 2025 Summary Newsletter
By Razor Labs 5 min read SHARE We’re proud to share Razor Labs‘ highlights from Q2 2025 – a quarter marked by strategic growth, real-world impact, and deeper global engagement. Powered by AI and guided by our mission to advance predictive maintenance, we continue to turn insights into action. From award-winning innovation to new deployments and field […]
Case Study: DataMind AI™ Detects Lubrication Fault in Ventilation Fan
By Razor Labs 7 min read SHARE Overview Razor Labs deployed DataMind AI™ to monitor critical rotating equipment at a major coal mining site with underground operations – including a key ventilation fan essential for maintaining airflow and ensuring safe working conditions below ground. In May 2025, DataMind AI™ detected rising bearing friction through multi-sensor […]
Case Study: Detecting bearing lubrication issue in a compressor with DataMind AI™
By Razor Labs 7 min read SHARE Overview At a major coal mining site, DataMind AI™ was deployed to monitor critical equipment, including compressors essential for plant auxiliary operations. After the deployment, the system flagged one compressor’s drive-end bearing for abnormal vibration levels – well above those observed in identical units. While traditional tools may […]
Case Study Snippet: Sensor Fusion Identifies Mechanical Degradation in Sinter Fan Before Failure
By Razor Labs 5 min read SHARE Unexpected sinter fan failures in alloys production can cause major operational downtime and financial losses. To avoid these risks, a leading site implemented DataMind AI™ to monitor critical equipment in real time and flag early signs of mechanical deterioration. In early March 2025, DataMind AI™ detected elevated axial […]
PODCAST: Razor Labs on IoT For All – AI and IoT in the Mining Industry
by Razor Labs 5 min read SHARE In this episode of the IoT For All Podcast, Razor Labs’ CTO & Co-Founder Michael Zolotov joins host Ryan Chacon to discuss how AI and IoT are reshaping predictive maintenance in one of the world’s toughest industries – mining. Michael shares how DataMind AI™ leverages multi-source sensor data […]
Razor Labs at GRX25: A Conversation on Mining Innovation with Mark Warren
by Razor Labs 3 min read SHARE In this exclusive GRX25 interview, Andrew Kaushal (VP Sales) sits down with Mark Warren, Corporate Executive Consultant at Snowden Optiro, to discuss the evolving collaboration between miners, METS, and tech providers. Together, they explore the challenges of adopting AI and predictive maintenance, and the practical steps mining companies […]
Mining Smarter: Inside Razor Labs’ Award-Winning Approach to Predictive Diagnostics and Safety
Razor Labs is an AI predictive maintenance technology company and a Triple Category Winner in the 2024 Mining Technology Excellence Awards
Case Study: DataMind AI™ Prevents Conveyor Motor Failure by Detecting Hidden Bearing Fluting
By Razor Labs 5 min read SHARE Overview At a large coal mining site, DataMind AI™ was deployed to monitor multiple conveyor drive motors – critical components in the site’s material handling process. Shortly after deployment, the system flagged early-stage deterioration in one of the motor bearings. While traditional monitoring tools recognized this as a […]
PODCAST: Razor Labs on The Northern Miner – Predictive Maintenance with AI Sensor Fusion
by Razor Labs 4 min read SHARE In this episode of the Northern Miner Podcast, Michael Zolotov, CTO & Co-Founder of Razor Labs, joins host Adrian Pocobelli to discuss how AI Sensor Fusion is redefining predictive maintenance in mining. Learn how Razor Labs’ flagship product, DataMind AI, combines data from vibration sensors, oil analysis, camera feeds, […]
