Catch the breakdown before it stops the line.
Condition monitoring and anomaly detection on the machines you already run — so the alert reaches the person who can act, before a part fails mid-shift.
Most failures announce themselves first.
A bearing runs hot for days, a motor's vibration signature drifts, the current climbs as something binds — the warning is in the data long before the stoppage. What is usually missing is someone watching for it and an alert that lands in time.
We instrument motors, pumps, compressors and gearboxes for vibration, temperature and current, learn each machine's normal, and watch for the pattern that precedes a breakdown. Retrofitted onto equipment you already own, with edge logic so a patchy network never means a missed fault. The point is a planned Saturday swap, not a Tuesday line-down.
- Vibration, temperature and current sensing retrofitted to existing machines
- A learned baseline per asset, so anomalies are measured against normal — not a generic threshold
- Edge processing that flags a fault locally, even when the network drops
- Alerts routed to the person who can act — phone, dashboard or work order
From telemetry to a heads-up.
Six pieces that turn raw sensor readings into a maintenance decision your team can act on before the machine quits.
Vibration analysis
Rotating equipment fails in a signature you can read. We mount vibration sensors on motors, pumps and fans and track the frequency bands that reveal imbalance, misalignment, looseness and bearing wear — so a developing fault shows up weeks before it is audible on the floor.
Thermal & current monitoring
Heat and current draw are honest early warnings. We watch bearing and winding temperature and motor current for the slow climb that means friction, overload or a failing phase, and flag it while it is still a maintenance job, not a full replacement.
Anomaly detection
A fixed red-line misses the slow drift. We learn each machine's normal operating envelope and alert on deviation from it, so you catch the problems a static threshold never trips — tuned per asset, not copied across the plant.
Retrofit sensor kits
Your machines don't need a data port. We add external sensors and an edge gateway to equipment that predates modern controls, reading condition without touching the machine's own wiring — a decades-old line joins the network without a capital rebuild.
Edge alerting
Fast decisions happen locally. Edge logic evaluates the readings on the floor and raises the alert even when connectivity drops, so the fault that matters is never lost to a weak signal or a cloud outage.
Maintenance workflow & ERP link
An alert nobody actions is just noise. We route each warning to the right person and open a work order in your maintenance or ERP system, with the history behind it — so the team plans the fix instead of reacting to the failure.
A planned stop beats a surprise one.
The sensor is cheap; the avoided downtime is not. We build for the alert that arrives in time to act.
Downtime you saw coming.
Not more dashboards — fewer surprise stoppages, and maintenance done on your schedule instead of the machine's.
Baseline first. Then predict.
You cannot flag an anomaly until you know what normal sounds like — so we measure that before anything else.
Assess the assets
We start with the machines whose failure hurts most — the ones that stop the line or cost the most to fix — and agree what is worth watching.
Fit the sensors
We retrofit vibration, temperature and current sensors and an edge gateway, sized to each machine and its environment.
Learn normal
We record each asset running healthy to build its normal envelope, so later alerts actually mean something.
Tune the alerts
We set anomaly thresholds and routing, tuning out false alarms until a warning is worth acting on.
Act & refine
We wire alerts into your maintenance workflow and refine the models as real failures teach the system what to watch.
Condition, in context.
Prediction is sharper when it sits alongside the rest of your plant's live data.
Things you might be wondering.
What sensors does predictive maintenance actually need?
Can you connect our older machines?
Will it work if our network is patchy?
How is this different from a fixed temperature or vibration limit?
A machine you can't afford to lose mid-shift?
Tell us which asset keeps you up at night. We will scope the sensors and the alert path to catch its next failure early.