We got you covered
All your Predictive Maintenance requirements in one out-of-the-box solution
Fusion of all data sources
Vibration, Oil, Telemetry, CCTV
Support of the domain experts
Root cause analysis
& Clear Prescriptive Actions
Full site coverage with online monitoring
Online monitoring & equipment visibility
- Precisely identify failures - DataMind AI™ incorporates >100 combined years of domain expertise in mining equipment, to specifically indicate impending failures that require attention.
- Utilize the fusion of all your data sources - Unlock the full potential of the equipment data - vibration, oil, historian, telemetry, cameras and thermography.
- Uncover the root cause of failures, so they don't happen again - Identify the failure underlying root causes and obtain concrete call-to-actions to resolve them to ensure efficient maintenance and lasting results.
Define
Define the critical equipment which accounts for the facility’s most substantial downtime.
Perform the facility survey to access sensors’ availability.
Deploy
Deploy DataMind AI™ sensor fusion. Leverage existing sensors and deploy the missing ones.
Integrate into BI, APM, and ERP systems.
Scale
Introduce additional facilities and equipment to the platform.
Launch a monitoring and diagnostic center for all global equipment.
Over 35% Decrease in Unplanned Downtime
Over 20% Increase in Overall
Production Capacity
Over 15% Reduction
in Maintenance Cost
DataMind AI™ at a glance
Conveyors
> 1000 prevented yearly downtime hours
> 1MT additional throughput
Stockyard
$47M annual utilization increase
25% reduced downtime
Crushers
> 100 prevented yearly downtime hours
> 25 prevented blockages per year
Mills
7.5% increased recovery
$9.8M increased recovery
No need to clean your data
Handle real-world data discrepancies automatically, including undocumented and mislabeled failures.
Evolving AI
Continuously improve accuracy with new data, using evolving Neural Networks.
Sensors
PLC tags
Events
Process
DataMind AI
Proprietary Neural Networks
Health score for every CCI
Time-to-failure prediction
Razor Labs in action
- January 18, 2023·
Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.3
- December 22, 2022·
Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.1
- January 18, 2023·
Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.3
- December 22, 2022·