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Making Machines Smarter

Reimagine Predictive Maintenance with Sensor Fusion for Superb
Failure Coverage and Root Cause Analysis.

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Why Razor Labs

Razor Labs is revolutionizing the mining industry with DataMind AI™, a cutting-edge all-in-one predictive maintenance solution that reduce unplanned shutdowns, boost productivity, and improve staff safety. 

AI Sensor Fusion

Cutting-edge technology fusing data from a diverse suite of sensors, condition reports, and maintenance records to deliver comprehensive failure coverage and precise diagnostics.

Sensors

A comprehensive hardware offering for full 24/7 site coverage, connected on a separate network to avoid cyber risks.

Industry Expertise

Our top-notch SMEs bring 200+ years of ConMon experience and deep mining knowledge, delivering dedicated 24/7 support.

Global Presence

Trusted by leading mining companies worldwide, our solutions are deployed across industrial environments and backed by local teams and partners.

Maximize Productivity

Unplanned maintenance costs up to three times more than planned. Optimize your maintenance strategies, reducing unplanned downtime and preventing failures before they happen.
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Streamline Operations

Streamline operations with real-time equipment insights and precise failure diagnostics, enabling proactive maintenance and maximizing equipment reliability while reducing operational costs.

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Enhance Safety

Ensure the safety of your greatest asset—your people—by early detection of impeding equipment failures, reducing the need for hazardous manual inspections, and preventing dangerous unplanned breakdowns.

80/20

Planned/ Unplanned Maintenance Ratio

Reduction in Unplanned Downtime
0 %
Reduction in Total Maintenance Expenses
0 %
Average Increase of Annual Plant ROM Feed
0 %
Avg. R&M Cost Savings (Labor & Equipment)
0 %

Used and trusted by

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Become our client

Doron Slutzkin
Glencore

How Razor Labs build trust with the mining sites’ teams

Joseph Starwood
Microsoft

How Razor Labs’ cutting-edge technology streamlines manual processes in mining maintenance

Michael Zolotov
Razor Labs

DataMind AI™’s visual capabilities for increased productivity and maintenance efficiency

Razor Labs

MINEXpo 2024 Recap

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IMARC 2024 Recap 

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Mining Indaba 2025 Recap

Doron Slutzkin
Glencore

Improving Planned: Unplanned Maintenance Ratios with DataMind AI™

Toboko Molete
Razor Labs

Austmine Zambia Mining Mission 2025 Recap

Joseph Starwood
Microsoft

How AI & Voice Workflows Are Transforming Mining

 

Razor Labs

Austmine NSW Mining Innovation Roadshow 2025 Recap

Raz Roditti
Razor Labs

Real business impact through predictive AI solutions

Testimonials

“By providing early warnings and actionable insights, we aim to prevent equipment failures before they occur, significantly reducing unplanned downtime and maintenance costs. DataMind AI™ also helps us maintain a safer working environment by minimizing the need for manual inspections in hazardous areas. ”

John Stewart
Chief Engineering & Reliability. SIMEC Mining

“The major shift is from unplanned to planned maintenance. Being able to take those unplanned maintenance events out of the picture, in some cases, you might be able to achieve that 100% or to reduce them. You save both the cost of lost revenue, which has a huge impact on your NPV, as well as the cost, the avoidance of component costs as well.”

Doron Slutzkin
Glencore’s Head of Business Transformation and Technology

“We are anticipating that following a successful pilot with Razor Labs we can help improve efficiency by using data analysis solutions as part of the operation & maintenance activities.”

Kendra Rauschenberge
VP, Siemens Energy Ventures

“The Datamind AI platform complements our existing asset management, downtime detection and conditional monitoring systems and seamlessly integrates with our existing historian data. The implementation of the Razor Labs solution is utilizing AI to reduce the time our maintenance staff is manually monitoring and reporting the condition of our critical processing assets and in return extending the lifespan of our equipment.”

Karl Reichenberg
Innovation & Technology Manager,SIMEC Mining

“We’ve focused on creating diagonal capabilities around advanced analytics, over time they’ve become business outcomes.”

Gavin Wood
CIO, Newcrest

“We were amazed when DataMind AI not only indicated a bearing failure in one of our crushers, but that it was caused by the use of incompatible oil. Having switched to the correct type of oil, the bearing failures stopped altogether.”

Superintendent Maintenance
Copper Mine, WA

“DataMind AI has been a valuable tool for our operation. It has helped us minimize unplanned downtime, boost the reliability of our assets, increase throughput, and reduce the need for costly parts replacements.”

Senior Reliability Engineer
Iron Ore Mining Site

“Machine failures are one of our water desalination plant’s most acute operational challenges. That is why we have partnered with Razor Labs to install their DataMind AI™ predictive maintenance solution at our plant.
The ability to install sensors and get access to data that wasn’t viable until now will be invaluable and can provide a broad set of insights for our operational needs and reliability prediction.”

Nadav Kantor
Site Manager, Maagan Michael Water Desalination Plant

“Razor Labs’ ability to take OT data, analyze it, get to root cause analysis, and ultimately provide a recommendation for the operator—is absolutely key. It significantly reduces the time needed, minimizes human errors, and gets us to a solution more quickly. This innovation is invaluable in a world with fewer labor resources and greatly enhances safety.”

 

Jopseph Starwood
Worldwide Mining Industry Leader, Microsoft

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WINNER
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WINNER
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