We give teams a clear, shared view of system performance – across rooms, facilities, and regions. By modeling how refrigeration systems actually work, FieldTech identifies inefficiencies, performance drift, and early signs of failure before they turn into downtime or emergency repairs.
We don’t replace people or controls. We support better decisions with insight teams can trust and explain.
Most refrigeration teams are forced to react. Maintenance happens after alarms trip, energy spikes, or equipment fails.
FieldTech helps teams see problems coming early – while there’s still time to act.
When maintenance goes predictive, the impact shows up quickly:
Less unplanned downtime and fewer overnight emergencies.
Lower emergency contractor spend.
Longer equipment life and fewer surprise capital expenses.
More stable schedules for operations and maintenance teams.
How FieldTech Works
Instead of relying only on raw sensor readings, which drift over time and don’t always tell the full story, the system models how compressors, evaporators, condensers, valves, and controls interact. That allows FieldTech to:
Identify efficiency losses sensors alone can’t explain
Detect performance drift before failures occur
Separate real problems from normal operating variation
See how leaders optimize with FieldTech.
Identified that running three compressors at higher load was more efficient than running four at partial load.
Detected sensor drift causing one compressor to draw 25% more power than peers.
Identified valve and defrost issues reducing cooling output after shutdowns.
I want to be more data driven in my decision making like some of the other facilities.
Move from reactive maintenance to confident, condition-based decisions without adding complexity.