Case Study Snippet: Sensor Fusion Identifies Mechanical Degradation in Sinter Fan Before Failure
By Razor Labs 5 min read SHARE At a leading alloys production site, DataMind AI™ flagged early signs of mechanical degradation in a critical sinter fan – well before any traditional system raised concern. By analyzing subtle vibration behavior using sensor fusion and multi-signal inputs, the platform pinpointed a misaligned coupling and impeller imbalance caused […]
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 […]
Case Study: DataMind AI™ Prevents Conveyor Motor Failure by Detecting Hidden Bearing Fluting
By Razor Labs 5 min read SHARE At a large coal mining operation, Razor Labs deployed DataMind AI™ to monitor multiple conveyor drives – critical components responsible for continuous material transport. Shortly after deployment, the system flagged early-stage deterioration in one of the motors. While traditional monitoring tools indicated a general bearing issue, they failed […]
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, […]
DataMind AI™ 4.1 Launch: Unlocking Faster, Smarter Predictive Maintenance
By Razor Labs 5 min read SHARE Razor Labs, a leader in AI-driven predictive maintenance, proudly announces the release of DataMind AI™ Version 4.1 — a major update that brings groundbreaking innovations to real-time decision-making, diagnostic accuracy, and maintenance workflows across mining and heavy industry. DataMind AI™ 4.1 is engineered to meet the growing operational […]
Case Study Snippet: Early Detection of Bearing Failure in a Critical Pump Using DataMind AI™
By Razor Labs 5 min read SHARE At a large power plant, a critical high-performance pump motor began showing subtle vibration behavior that conventional systems failed to detect. DataMind AI™ identified the early signs of bearing degradation through advanced real-time analysis – before any alarms were triggered or damage occurred. The insights enabled the team […]
Understanding MTBF in Maintenance: Its Meaning and Role in Predictive Strategies
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.
Case Study Snippet: Visual AI Detects Crusher Liner Wear and Prevents Production Risks
By Razor Labs 5 min read SHARE Discover how DataMind AI™ Visual AI Monitoring helped a ferroalloy site identify subtle material flow anomalies after the jaw crusher – well before visible failure signs appeared. Through continuous monitoring of size distribution trends, the system provided early, actionable insights that enabled proactive maintenance during planned downtime – […]
DataMind AI™ An all-in-one predictive maintenance solution
By Michael Zolotov 4 min read SHARE A year and a half ago, ChatGPT burst onto the scene, sparking an intense race among tech giants like OpenAI, Microsoft, and Facebook to develop the most advanced AI models. Despite initial rapid advancements, the AI field has hit a plateau, prompting a reevaluation of how we push […]
