Stop Mobile Fleet Failures Before They Happen
DataMind AI detects failures weeks in advance across your entire mobile fleet — haul trucks, LHDs, underground loaders and TMM. Works with CAT, Komatsu, Liebherr, Sandvik and more. No new hardware. Live within a week.
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CAT · Komatsu · Liebherr
Industry Recognition
Traditional Monitoring Doesn't See What's Coming
Most Australian mines rely on OEM threshold alerts and scheduled PMs. These tell you when something has already failed — not weeks before it will.
OEM tools only cover their own brand
CAT MineStar covers CAT. Komatsu KOMTRAX covers Komatsu. No single tool covers your mixed fleet.
Scheduled PMs miss real failure modes
Differentials and bearings don't fail on a calendar. They fail when real-world stress accumulates.
Threshold alerts fire when it's already too late
By the time a vibration spike trips an alert, the damage is done. You need weeks of warning.
Underground breakdowns cost 10× more
You can't park a broken LHD 500m underground. Recovery costs alone dwarf the repair.
For large open-cut operations in Australia. Underground recovery costs 10× more.
- Lost production and delayed haul schedules
- Emergency parts airfreighted at premium cost
- Underground LHD recovery: cranes, decline access, full crew
- Cascading schedule disruption across the fleet
- Safety incidents from sudden mechanical failure
$5.8M in Downtime Avoided in a Single Pilot
A coal mine ran a 90-day DataMind AI pilot across their haul truck fleet. The system surfaced 11 critical failure findings — 40+ hours of unplanned downtime avoided. Every finding caught before it became an emergency.
View All Case Studies →Downtime costs avoided
Across a 90-day pilot at a coal mine
Critical findings surfaced
Every one caught before failure — zero emergency breakdowns
Unplanned downtime avoided
In 90 days. Each hour at full production rate.
From Installation to First Prediction in Under a Week
No lengthy deployment, no OT changes, no data science team needed.
Connect
Compact datalogger plugs into existing onboard telemetry. ~1 hour per truck. No new sensors.
Analyse
Pre-built deep learning models process vibration, temperature, pressure and telematics from raw sensor data.
Detect
AI identifies novel failure signatures weeks before they become critical — including patterns no human defined.
Act
Your maintenance team gets a specific alert: which asset, which component, how urgent. Schedule the fix on your terms.
DataMind AI: Deep Learning That Works on Your Existing Fleet
Reads from your existing sensors and SCADA. No new hardware. No OT changes. Predictions from week one.
Catches the unknown unknowns
Deep learning finds failure patterns no rule-based system would define — the ones that cause catastrophic breakdowns.
Mixed fleet — any OEM
CAT, Komatsu, Liebherr, Hitachi — one platform, every truck. Pre-built models for all major OEMs in Australian mining.
Zero OT security risk
We read from your sensors. We never write to PLCs or control systems. No OT infrastructure changes.
Works with SAP PM, Maximo and more
DataMind AI pushes alerts into your existing CMMS. We add the predictive layer your current tools can't.
Plug In. Connect. Predict.
Attaches to existing onboard telemetry in ~1 hour. No new sensors. No OT changes.
Integrates with:
Pre-Built Models for Every OEM in Australian Mining
No training period. If your fleet runs these OEMs, predictions start from day one.
Surface Fleet
Underground Fleet
Can't find your model? We cover 50+ equipment types. Ask about your specific fleet →
Underground Reality
You can't park a broken LHD 500m underground.
Underground recovery costs 10× surface. Cranes, decline access, full crew. One breakdown in a decline can halt production for a full shift. DataMind AI catches drivetrain, hydraulic and engine faults on LHDs and TMM before they strand your fleet underground.
Not Another IoT Platform. Purpose-Built Industrial AI.
Mixed Fleet. One Platform.
OEM tools only cover their brand. DataMind AI monitors every truck in your fleet from a single dashboard.
Live in Weeks, Not Months
Pre-built OEM models start delivering predictions in week one — no 6-month training period.
Catches What Rules Miss
Deep learning finds novel failure signatures — the unknown unknowns that cause catastrophic breakdowns.
Zero OT Security Risk
We read from your existing sensors and SCADA. We never write to PLCs. No OT infrastructure changes.
Proven in Australian Operations
Coal mines (NSW), gold mines (WA), iron ore (SA) — DataMind AI is already deployed across Australia.
Measurable ROI from Day 90
Typical pilot is 90 days. ROI is documented and tied directly to avoided downtime events.
7 countries globally
Fuel Injector Detected Early — $133K Saved, 2 Days Production
DataMind AI identified fuel injector degradation on a CAT 793D haul truck before any OEM alert fired. The mine scheduled the repair in a planned window — avoiding ~$133,344 in downtime costs and 2 days of lost production. The transmission fault was caught 1 full month earlier than the OEM's own 100°C alarm threshold.
Find Out If Your Fleet Has a Failure Coming in the Next 30 Days
Book a free 30-minute demo. We'll show you how DataMind AI works on equipment identical to yours — and what it would have caught on your fleet.
Talk to Our Australian Mining Team
Tell us about your fleet and we'll put together a custom ROI projection for your operation within 48 hours.
- → Free 30-minute demo — Zoom or on-site
- → Custom ROI calculation for your fleet size
- → Case studies for your exact OEM equipment
- → Pilot proposal: 90 days, one asset class, full POV
- → No IT/OT changes needed to get started