Case Study: Preventing Slurry Pump Motor Failure Through Early Detection with DataMind AI™
By Razor Labs 7 min read SHARE Overview Razor Labs DataMind AI™ was monitoring critical rotating equipment at a vanadium mining site, including one of the site’s main slurry pumps. This pump is a critical component in one of the site’s two parallel processing lines. A failure would have forced a shutdown of the entire […]
PODCAST: Razor Labs on “Dig Deep Mining Podcast” – How AI is Changing Mining Operations
by Razor Labs 5 min read SHARE In this episode of the Dig Deep Mining Podcast, Razor Labs’ CTO & Co-Founder, Michael Zolotov, joins host Rob Tyson to explore how artificial intelligence is reshaping predictive maintenance in the global mining sector. Michael shares the story behind Razor Labs’ flagship product, DataMind AI™, and how it […]
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 […]
