What Mina does for you
An industrial AI agent that judges first.
Risk-ranked priorities; root cause and next steps in one line.
Several diagnostic expert models confer for a steadier verdict.
Plan maintenance and spares ahead.
Vision-assisted rapid deployment gets you live sooner.
Four capabilities every PdM team needs.
Reads the trend, not just the snapshot.
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.
- Per-point baselines from the asset’s own history, not a generic rulebook.
- Drift, step change, and seasonality told apart automatically.
- Early warning when a curve bends toward the threshold.
Forecasts the failure, not just the fault.AI Care Plus
Naming the fault is table stakes. Mina projects the degradation forward, gives a remaining-life range and a time window — so the work order, the spare part and the shutdown all land before the breakdown does.
- Remaining-useful-life estimate, with its range and the evidence behind it.
- A time window to plan around, not a vague “soon”.
- Updated on every new reading as the picture sharpens.
Every machine, on one screen.
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.
- A short “today’s focus” that tells you what to look at first.
- A health score for every machine, plus the last 30 days at a glance.
- Alerts, diagnosis, trends, forecasts and reports — all in one place.
Spectrum, envelope, the whole reasoning chain.
FFT, integration, Hilbert envelope demodulation — Mina follows the same analysis chain a CAT-IV analyst does, recognising 1×/2×/3×, BPFO/BPFI/BSF/FTF bearing frequencies, GMF sidebands and oil-whirl bands, and tells you which fault class sits at which tier: critical, warning or notice.
Built on two decades of senior-analyst teardown reports.
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.
Ask what's wrong with the machine — in your language.
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.
Questions buyers ask
What does the Mina AI agent do?
Mina reads your vibration and temperature data around the clock, ranks machines by risk and tells you in one line which one to fix first, why, and how. Multi-expert review lifts diagnosis accuracy to 90%+, up from the platform's 85%+; remaining-life forecasts let you plan maintenance and spares ahead; and a photo is enough to model a machine, with vision-assisted rapid deployment.
How do I choose a plan and get activated?
Submit an activation request on the plans page and we activate within 1 business day. For large projects and distribution partnerships, please contact us.
Does deployment stop production? How soon can we go live?
No machine modification is needed: sensors are bonded near the bearing seats, the gateway is wall-mounted, and each sensor is bound to its measuring point in the app with a tap. We agree the go-live date with you by the number of machines.
Which DHMSCare sensor do I need?
The DT310 for most rotating machines (0–6000 Hz), the DT311 where the machine sits inside an enclosed metal structure, and the DT400 or DT420 for high-g or variable-speed machines in open environments (±60 g, 0–8000 Hz).
Can it be customised or deployed on-premises?
Customisation, on-premises deployment and project-based delivery are all available; talk to our team about your plan. They are not available during the trial.
See Mina on your own machines.
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.