Live visibility across distributed assets, wherever they are.
Remote monitoring is easy to demonstrate and hard to keep trustworthy. The difficulty is not showing a dot on a map — it is alerting that operators believe after the third week, coverage that survives dead zones, and battery life that does not turn the deployment into a maintenance round. Those are the problems we have spent years solving on live fleets.
Live and historical position with zones that trigger on entry, exit or dwell — tuned to cut false alerts rather than maximise them.
Temperature, shock, tilt, humidity and power, sampled at a rate matched to what you will actually act on.
Which assets are working, which are idle, and which are being held for a peak that no longer exists. Usually the analysis that funds the rest.
Thresholds set against context rather than fixed values, because an alerting system operators learn to ignore is worse than none.
Store-and-forward on the device so a coverage gap delays data rather than losing it.
Monitoring data joined to jobs, maintenance and finance, because nearly every useful question crosses those boundaries.
Anything you can attach a sensor to and reach with a network — vehicles, trailers, containers, plant, tools and fixed equipment. The practical limits are power and coverage rather than the software, which is why the survey comes first.
By setting thresholds against context rather than fixed values, and by tuning during a pilot instead of at design time. An alerting system people stop trusting is worse than no alerting, and that trust is lost quickly and regained slowly.
The device stores readings and forwards them when coverage returns, so a gap delays data rather than losing it. Any monitoring system that assumes constant connectivity will disappoint in the field.