Razor Labs, Author at Razor Labs

Case Study: DataMind AI™ Flags Hidden Friction in Lubrication Pump – Prevents Centrifuge Failure

By Razor Labs 5 min read SHARE In coal mining, high-speed centrifuges play a critical role in reducing moisture content in fine coal during the dewatering process. But these machines rely on something deceptively simple: a dedicated lubrication pump that keeps their bearings running smoothly. At one site, DataMind AI™ was deployed to monitor the […]

Webinar: Data-Driven Maintenance Decisions – Lessons from Coal Mining Deployments

by Razor Labs 6 min read SHARE Smarter Maintenance in Coal Mining with DataMind AI™ Predictive maintenance in coal mining is challenging – high loads, abrasive materials, and remote environments create a perfect storm for unplanned downtime. In this recorded webinar, produced in collaboration with Austmine, we explore how DataMind AI™ is helping operations move […]

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 […]