A machine was drifting for days. Nobody was watching closely enough.
Misamtek exists because breakdowns almost always announce themselves ahead of time - in a sensor stream that nobody is watching in real time. We are building the layer that watches, all the time, on every connected machine.
The signature is always there. The eyes are the missing piece.
Every machine that fails leaves a trail. A vibration signature that shifts for days. A discharge temperature that runs three degrees warmer than last week at the same load. A pressure differential that quietly drifts every cycle. On any modern production line the sensors are already there, publishing readings into a historian somewhere. The gap has never been the data. The gap has been someone or something actually watching, all the time, and connecting a specific reading to a specific probable cause.
Misamtek is what fills that gap. A continuous scoring engine on top of the sensor streams that already exist, learning what normal looks like on each machine, flagging drift as it emerges, and proposing a likely cause and a service window that reflects what the equipment is actually doing.
Three commitments that shape the product.
Flagged as it drifts, not after it breaks.
The value is in the earliest signal. If we are only useful at the alarm limit we have not done our job.
A specific diagnosis, not just a generic alert.
An alert on its own has almost no value. A likely cause, tied to the reading behind it, has all the value.
Maintenance timed to real behavior, not a fixed calendar.
Every recommended service window is tied to a reading. Windows narrow when the anomaly persists, widen when it resolves.
A registered office is on file for correspondence and legal notices. Please refer to the contact page for full details.
Pick an equipment type. Watch its sensor pulse move.
This is not a mockup. The waveforms below are being generated the same way we score real streams - learned envelope, drift detection, diagnosed callout. Pick a machine and watch an anomaly emerge.