Apps Like LabSVIFT for iPhone and iPad
LabSVIFT screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.



Operations Center Mobile
John Deere
Manage equipment and track
Monitor equipment performance and job site activity in real time. View analytics and receive alerts for maintenance needs. Adjust schedules and track fuel usage. Access historical data and generate reports.



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.



Fleetio Go - Fleet Management
Rarestep, Inc.
Manage tasks, track vehicles, and share updates
Submit inspections (DVIRs), create and track work orders, and manage maintenance tasks. Assign and monitor assignments for drivers and technicians. Access vehicle and equipment data. Receive alerts for upcoming maintenance.








Automile - Fleet Management
Automile AB
Track vehicles, log mileage, monitor assets
Track vehicle and asset locations in real time using GPS. Monitor mileage and fuel usage. Receive alerts for vehicle status and driver activity. View historical data and generate reports. Manage multiple devices and set up custom notifications.


GlacierGrid
GlacierGrid Inc.
Monitor refrigeration and optimize energy use
Monitor refrigeration units and HVAC systems in real time. Adjust temperatures remotely. Receive alerts for equipment anomalies. Track energy usage and reduce food spoilage. View reports on energy savings and emissions reduction.

IntelliCommand Pro
Jones Lang LaSalle Incorporated
Detect anomalies and track equipment health
Technicians use to diagnose equipment issues and perform maintenance. The provides equipment health insights based on historical and operational data. It detects anomalies and offers data-driven analysis for maintenance planning.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.