Razor Labs, a leading AI predictive maintenance mining technology company, has won the Innovation award for Equipment Diagnostics in the 2025 Mining Technology Excellence Awards for leveraging cutting-edge artificial intelligence (AI) technologies to enhance the reliability of mining operations, while significantly reducing costs and safety risks.
The Mining Technology Excellence Awards celebrate the greatest achievements and innovations in the mining industry. Powered by the business intelligence of GlobalData, the program provides a platform to recognize the people and companies that are driving change in the industry.
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Razor Labs won the award for its transformative impact on mining operations through the deployment of DataMind AI™, a platform that integrates cutting-edge visual AI and sensor fusion technology. By combining real-time image analysis, sensor data integration, and AI-driven predictive analytics, Razor Labs has significantly enhanced equipment diagnostics, enabling early detection of potential issues and optimizing maintenance schedules. This has resulted in reduced operational costs, improved safety, and increased equipment reliability, setting a new standard in the industry for proactive and efficient mining operations management.
AI Sensor Fusion: Real Life Examples
Uncovering hidden pump issues
DataMind AI™ has redefined equipment diagnostics through its sophisticated AI sensor fusion technology. The platform revolutionizes mining operations by combining real-time image analysis, sensor data integration, and AI-driven predictive analytics. At a coal mining site in Africa, DataMind AI™ was tasked with monitoring critical equipment, including slurry pumps. Historically, the site relied on manual vibration testing, which focused solely on velocity data and often overlooked high-frequency patterns crucial for detecting early signs of equipment deterioration. DataMind AI™, however, employed acceleration data and envelope demodulation, allowing it to analyze these higher frequencies and uncover hidden issues.
For instance, the system identified increased friction in the drive-end bearing of a pump, a problem that traditional methods failed to detect. This early detection was pivotal, preventing six hours of unplanned downtime and saving the site approximately $195,000. The real-time diagnostics provided by DataMind AI™ offered immediate insights, enabling the maintenance team to act swiftly and optimize maintenance schedules. This not only extended the lifespan of the pump but also reduced overall maintenance costs. Furthermore, by mitigating risks associated with unexpected equipment failures, the system contributed to a safer working environment for mining personnel. The integration of AI-driven visual inspection further enhanced the reliability of diagnostics, ensuring that potential issues were identified and addressed promptly.
Real-time anomaly detection: Ensuring operational continuity
Razor Labs’ innovative approach is further exemplified by the deployment of DataMind AI™ at an iron ore mining site in South Australia. The site had a history of gearbox-related issues with its Ball Mill, leading to costly unplanned downtimes and posing safety risks. DataMind AI™ was instrumental in transforming this scenario through its real-time monitoring capabilities. Upon installation, the system immediately began tracking the health of the Ball Mill, detecting an increase in gearbox friction and recommending a borescope inspection to pinpoint potential gear wear or damage.
The maintenance team, confident in the system’s capabilities, monitored the situation closely. When DataMind AI™ escalated the status to “Critical,” it signaled that the issue had progressed as anticipated. The diagnosis revealed a broken tooth in the output shaft gear, prompting the maintenance team to replace the gearbox. This timely intervention prevented eight hours of unplanned downtime, saving the site approximately $432,000. Moreover, by preventing a potential safety incident, the system underscored its value in enhancing operational safety.
DataMind AI™’s precise diagnostics, supported by advanced AI research in uncertainty quantification, allowed the maintenance team to strategically plan repairs and avoid emergency situations. This proactive approach ensured minimal interruption to production and reduced safety risks associated with unexpected equipment failures. By enabling strategic maintenance planning and enhancing decision-making reliability, Razor Labs has demonstrated a proactive approach to equipment management, integrating research-driven innovations to enhance industrial reliability. The system’s ability to provide clear evidence and actionable insights has empowered maintenance teams to make informed decisions, optimizing both operational efficiency and safety.
“Receiving the Mining Technology Excellence Award for the second year in a row is a strong validation of DataMind AI™’s impact on the mining industry. As AI-driven predictive maintenance becomes a standard for optimizing reliability and efficiency, our technology continues to help mining companies reduce unplanned downtime, lower maintenance costs, and improve safety. This recognition reinforces our commitment to innovation and our mission to transform industrial asset management with AI.”
– Tomer Srulevich, CBO at Razor Labs
Company Profile
Razor Labs, a leader in mining technology, delivers advanced predictive maintenance with its flagship product, DataMind AI™️. Our Sensor Fusion technology provides real-time condition monitoring, root cause analysis, and prescriptive actions to prevent failures before they happen. With a strong presence in key mining regions, including Australia and South Africa, our solutions drive measurable improvements in equipment reliability and operational efficiency.
Learn more about how we can transform your operations by visiting our website and following us on social media.
Contact Details
Media Contact:
Ms. Liel Anisenko, Director of Marketing
E-mail: pr@razor-labs.com
Links
Website: https://www.razor-labs.com
