From Yahoo Finance: 2025-05-26 05:00:00

Tomer Srulevich, Chief Business Officer at Razor Labs, discusses how their DataMind AI™ platform is revolutionizing mining operations, reducing downtime, enhancing safety, and maximizing asset life. They recently won an Innovation award in the Equipment Diagnostics category, validating their impact on the field.

DataMind AI™ aims to replace reactive maintenance with predictive, AI-driven solutions tailored for mining challenges. The platform integrates with existing infrastructure, providing full visibility across critical equipment like pumps, mills, crushers, and conveyors. By offering root cause insights and prescriptive actions, Razor Labs is transforming maintenance in the industry.

Razor Labs measures success in real-world applications by the impact on downtime, cost savings, and reliability improvement. Their AI solutions have identified issues like pump bearing deterioration and electrical fluting in conveyor motors, saving clients hundreds of thousands of dollars and preventing safety risks and disruptions to throughput.

The development of DataMind AI™ faced challenges in integrating fragmented data sources and adapting to low-speed equipment. Razor Labs overcame these hurdles by creating a Sensor Fusion architecture and implementing custom envelope demodulation and edge computing to detect issues at sub-100 RPM.

Real-time monitoring in mining is evolving towards automated diagnostics with prescriptive actions, a shift led by DataMind AI™. The platform identifies failure modes, root causes, and suggests corrective actions, aiming to make maintenance intelligent by default and schedule downtime rather than face unplanned shutdowns.

DataMind AI™ differentiates itself from traditional monitoring methods by using deep neural networks, multi-sensor fusion, and envelope demodulation to detect early signs of failure. This approach offers greater accuracy by analyzing vibration in the acceleration domain and fusing it with electrical current and pressure data.

Razor Labs continuously improves DataMind AI™ by maintaining a feedback loop between R&D and field deployments, collaborating with academic institutions, and staying grounded with on-site experience. They focus on advancements in AI and machine learning to enhance their product and meet client needs effectively.

Clients appreciate the precision and clarity of DataMind AI™, which provides detailed insights into issues, leading to enhanced visual diagnostics and improved integration with SAP. Feedback from clients has guided product development, emphasizing the importance of expert-level monitoring and actionable insights.

Razor Labs’ strategic goals for the next 3-5 years include expanding DataMind AI™ to mobile assets, deepening edge analytics capabilities, advancing in process optimization, and making reliability management more autonomous. The focus is on driving innovation in AI-driven solutions for the mining industry.

Safety is a top priority for Razor Labs, with DataMind AI™ contributing to enhancing worker safety by catching faults early and eliminating risky interventions. The platform helps prevent mechanical failures and dangerous physical inspections, turning reactive firefighting into proactive, preemptive action.

Razor Labs is working on developing “virtual sensors” to estimate unmeasurable parameters and enhancing self-service model tuning on the platform. They emphasize partnerships with OEMs, EPCMs, and on-site maintenance teams to advance the capabilities of DataMind AI™ and ensure seamless integration into operational workflows.

Read more: Inside Razor Labs’ Award-Winning Approach to Predictive Diagnostics and Safety