Predictive maintenance
that runs on your plant's edge.

Stop waiting for machines to fail. iGromi OS monitors vibration, temperature, current, and hundreds of industrial signals in real time — on your infrastructure, without sending data to the cloud.

480
signals monitored
early failure detection
$127
deployment time
no cloud subscription
<5ms
edge inference
local processing
0
data sent to cloud
100% sovereignty

The Problem

Your machines are talking.
But nobody is listening.

Reactive maintenance

You fix machines after they break. Every hour of downtime costs thousands. Your team is firefighting instead of preventing.

Scheduled maintenance

You replace parts on a calendar, not on condition. Healthy components get swapped. Worn ones keep running until the next scheduled stop.

Data silos

Vibration data lives in one system. Temperature in another. Current in a third. Nobody correlates them. The full picture doesn't exist.

The Solution

Condition-based maintenance
powered by Edge AI.

Local AI processing

Models run on your plant's edge. Vibration, temperature, current — all analyzed where the data is generated. No cloud dependency.

Cross-signal correlation

iGromi OS correlates vibration spikes with temperature rises and current changes. A single anomaly might be noise. Three together are a failure in progress.

Works offline

Your plant keeps running even without internet. Alerts fire locally. The maintenance team gets notified. Data syncs when connectivity returns.

What you get with iGromi OS

Reduce unplanned downtime by detecting failures early
Eliminate unnecessary preventive maintenance
Correlate vibration + temperature + current automatically
No cloud subscription — runs on your hardware
Integrates with your existing CMMS via JSON API
Full audit trail: every alert, every action, every decision
Models improve over time with your plant's data
Deploy in hours, not weeks — no PLC reprogramming

Stop fixing machines.
Start predicting failures.

In 30 minutes we'll show you how iGromi OS can predict failures on your existing machines — without new hardware, without cloud subscriptions.

Request a demo