Mina watches every machine, around the clock — and tells you what is about to fail, why, and what to do. In plain words. Before it breaks. In any of 11 languages.
The alarm goes off at 3 a.m. The shift lead calls the analyst. The line is already down.
The bearing is flagged Tuesday. Mina names the side, the cause, the part number.
One reading tells you today. The trend tells you where it is heading. Mina tracks every measurement point over weeks, separates a slow drift from a step change, and flags the asset that is climbing toward its limit — long before it trips an alarm.
Naming the fault is table stakes. Mina projects the degradation forward, puts a confidence band around it, and gives you a window — so the work order, the spare part, and the shutdown all land before the breakdown does.
No more hunting across dashboards. Mina opens on the machines that need you today and ranks them by risk, so you know where to start. The detail behind any number is one click away. The whole site, in one place.
Mina works through a reading the way a senior analyst would — spectrum, envelope, the lot. It picks out the shaft harmonics, the bearing and gear-mesh signatures, the oil-whirl bands, and tells you which fault it found and how sure it is.
Mina’s diagnostic engine — the DHMS fault taxonomy — is codified from two decades of teardown reports by veteran reliability analysts. It runs deepest on vibration today, and is expanding to temperature, current and pressure, so one agent can reason across the whole machine. Every diagnosis still cites the physics or the prior case it came from.
No nested dashboards. Type or speak what you want to know. Mina pulls the live spectrum, cross-checks the case library, and answers like a colleague — by voice or text, on web, mobile, or kiosk.
From a pilot line at a single factory to plant-wide O&M with automatic dispatch. Three tiers, layered on top of each other.
Point Mina at one of your own assets and watch it read the spectrum, track the trend, and forecast the failure — in plain language, in your language. Start with a trial line and scale from there.
Predictive maintenance, finally talking back. Wireless sensors, an AI diagnostician, and a five-year battery — so a fleet that never stops never blindsides you.

