Every machine's own baseline
We don't compare your motor against a catalogue: we measure how it behaves when it's healthy, and from there what matters is the deviation. Two identical machines under different loads have different thresholds.
← The whole platform
KINNIL CM
Failures warn you first. Someone has to be listening
“Failures keep catching me off guard.”
Vibration, temperature and consumption measured continuously and compared against the equipment's own baseline. The deviation shows up weeks before the stop, and with it the window to schedule it instead of suffering it.
What it actually does
From the noise a machine makes to a window for deciding
Vibration, temperature and current together
All three signals on the same time axis. A current spike that lines up with a vibration signature says far more than either one alone.
Alerts with severity, not just alarms
The anomaly arrives graded by how far it sits from normal, so maintenance can tell what gets handled today from what goes into this month's plan.
History that outlives turnover
The machine's behaviour is stored along with its events and interventions. When the technician who knew it leaves, the machine still has a memory.
How it gets switched on
Non-invasive and reversible sensing
Sensors mount on the outside: the machine isn't opened, no warranty is lost and everything can be removed without a trace. That's why trying it on your most critical asset isn't an irreversible decision.
The Nidus gateway processes on site, so continuous measurement doesn't depend on plant internet or saturate your network. All it needs is a 120 V outlet.
- 01We pick the machine that costs the most when it stops
- 02Sensing installed in 1 day, without stopping the operation
- 03Weeks of learning: the machine defines its own normal
- 04Deviation alerts reaching maintenance with a severity attached
The other modules
They all run on the same data and the same hardware. Turn on one, turn on six — the bill grows per machine, not per module.
KINNIL OEE
Production in real time
KINNIL MTTOMaintenance
KINNIL DAQData acquisition
KINNIL PLANNINGPlanning
KINNIL ENERGYEnergy and sustainability
Where it's being usedMiningOil & Gas / OEM
Already in operation
See the La Plomosa case →20 h/day of unproductive time exposed
A mill instrumented in 1 day that went from 'it runs fine' to classified states and a measured setpoint.
Frequently asked questions
What people ask about condition monitoring
What is condition monitoring and what does it prevent?
It's the continuous measurement of a machine's condition — vibration, temperature, consumption — to catch the anomaly before the failure. On a mill or a conveyor, that's the difference between scheduled maintenance and an unplanned stop of the whole operation.
Do you have to open the machine to install the sensors?
No. The sensing is peripheral and non-invasive: it measures from the outside and it's reversible. The machine loses no warranty.
How long until it's useful?
Measurement starts the day it's installed. Detection by deviation first needs to learn the machine's normal behaviour, so the real value shows up once there's history to compare against.
The next stepIt's not about buying anything.
It's not about buying anything.
It's about measuring your most problematic machine.
Kinnil Pilot · 30 days
We install on 1–2 machines, measure your real baseline and present the findings with your own data. Success criteria agreed from day one.