Fix it on Tuesday. Not after it breaks on Friday.
Feathergrid connects your service records with the conditions around your machines and the sensors on them, spots the pattern that comes before a failure, and recommends the fix while it’s still cheap.
Feathergrid for field equipment
Feathergrid brings predictive maintenance to the equipment you already run, from pumps and compressors to generators and HVAC. It reads vibration, temperature and power draw alongside service history and the forecast, and tells your team which machine needs attention before it fails.
What it watches
Systems
Maintenance and work-order systems.
Data
Each machine’s service and failure history.
External APIs
Weather and heat forecasts.
Sensors
Vibration, temperature, power draw and run hours on each machine.
Fine alone. Loud together.
An example of what that looks like.
An example. Illustration, not live data.
A pump draws a little more power every week. Its vibration ticks up after each restart. A heat wave is forecast for Friday. Each one is fine.
Together they’re a failure on the hottest day of the week.
Feathergrid flags it Monday and recommends a service visit before Thursday, with the readings behind it.
How it works
- 01
Connect.
Plug in the apps and systems you already have, and sensors if you have them. Nothing moves. Nothing migrates.
- 02
Correlate.
Feathergrid finds what's related across all of it. The things no single system can see.
- 03
Act.
You get the next step, with the reasons. Approve it, or let the routine ones run on rules you set.
- 04
Prove.
Every decision goes into a tamper-evident record.