Apps Like SBM Crush Control for iPhone and iPad
SBM Crush Control screenshots
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.


AssetSense C2
AssetSense, Inc.
Automate field operations for industries.
The app automates condition monitoring and field operations for various industrial sectors. It provides tools for operational efficiency, reduced maintenance costs, and improved equipment uptime.



Inspection Maintenance - HVI
JRS Innovation LLC
Schedule inspections, track , manage compliance
Manage vehicle inspections, , and compliance with digital checklists, schedule service reminders, and track repair history. Log results, generate reports, and monitor compliance status in real time.


SCHWING Smartrack
SCHWING Stetter India Private Limited
Track equipment location and status
Monitor heavy machinery with real-time location tracking and performance data. Receive instant alerts for anomalies or maintenance needs. View operational insights to optimize efficiency and manage equipment remotely.

SphereY - سْفيري
WOSOL FOR INFORMATION AND INFORMATION TECHNOLOGY
Order services, track progress, manage requests
Manage installations and maintenance requests through a user-friendly interface. Create, update, and track service reports. Order services for machines purchased from web stores. Monitor the service process in real time.






SKF Axios
SKF Sverige AB
Monitor equipment data and predict failures
Monitor equipment health by analyzing vibration and temperature data. Receive alerts for anomalies and view machine condition reports. Access predictive maintenance insights and manage notifications through a mobile interface.

Voice of the Machine-SensoNODE
Parker Hannifin Corporation
Gather measurements for predictive maintenance.
The app connects to wireless sensors to gather measurements for diagnostics and condition monitoring. It provides real-time and historic trend information, allowing users to optimize asset performance and reduce unplanned downtime.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.