Mining operations have always been told that serious asset intelligence means a long implementation, a large consulting bill, and years before you see the value. AssetIQ was built to prove that wrong. Full predictive asset lifecycle management, deployed in weeks, running on any OEM fleet, accessible from the pit to the boardroom.
The enterprise asset management platforms dominating mining were built for procurement teams and IT departments, not for maintenance planners working shift schedules in a pit at 40 degrees. They are expensive to licence, painful to implement, require specialist consultants to configure, and still do not tell you what you actually need to know: which asset is going to fail next, and what it will cost you when it does.
The alternative — spreadsheets, paper records, and disconnected OEM portals — leaves every high-stakes maintenance decision dependent on whoever has the most institutional knowledge in the room. When that person leaves, the knowledge leaves with them.
Enterprise platforms take 12 to 24 months to go live. A mine cannot wait 18 months for availability intelligence. By the time it is deployed, the operational context has already changed.
Pricing models built around named users, site licences, and add-on modules mean the cost grows faster than the value. Small and mid-tier operations pay a disproportionate share for a fraction of the capability.
Interfaces designed for desktop use in an air-conditioned office do not work for a technician with dirty gloves on a mobile device in the field. If the tool is not used at the point of work, the data does not exist.
Most platforms tell you what happened. AssetIQ tells you what is about to happen. The difference between a maintenance system and a predictive intelligence platform is not a feature — it is a fundamentally different approach to the problem.
AssetIQ works bottom-up. Individual component health informs machine risk, machine risk informs fleet prioritisation, and fleet prioritisation informs budget planning. Every layer connects to the one below it.
Every asset and critical component registered with design life, replacement value, and service history. The register is the foundation — everything else builds from it. Import from any existing system in hours.
Oil analysis, telematics readings, inspection findings, and fault codes flow into the platform and are assessed against configurable thresholds and trend models in real time.
Condition trends, maintenance history, and component life consumption combine to generate risk scores, predicted failure windows, and recommended actions — before a breakdown occurs.
Component replacement projections roll up to fleet-level capital forecasts. Finance and operations see the same numbers. Budget surprises become visible months before they arrive.
Every capability was scoped against real mining operations. If it does not change a maintenance decision or a budget conversation, it is not in the platform.
Condition trends and failure pattern detection generate predicted failure windows and prioritised maintenance recommendations. The trigger is data, not a breakdown.
Planned availability targets tracked at shift level. PA% KPIs updated in real time as work orders close and downtime events are logged. The number the mine cares about, visible at all times.
Planned and unplanned work orders linked to assets, components, failure modes, and cost records. Full workflow from defect detection through job completion, sign-off, and cost capture.
MTBF, cost per failure mode, premature failure detection, and seasonal trend analysis. The reliability intelligence that turns raw maintenance data into decisions that change fleet performance over time.
Component replacement projections rolled to asset and fleet level. Capital exposure visible months in advance. Includes depreciation, replacement cycle modelling, and economic life analysis.
Built to work across any OEM fleet without proprietary integrations. Mixed fleets — haul trucks, excavators, drills, ancillary — managed in a single platform with no manufacturer exceptions.
A maintenance platform that cannot be used at the point of work is not a maintenance platform — it is a reporting tool that someone fills in after the fact. AssetIQ was designed from the ground up for the person standing next to the machine, not the person sitting at the desk.
Every feature that a technician or supervisor needs in the field is accessible on any mobile device, without specialist hardware, without training programmes, and without a connectivity requirement for basic functions.
Fully responsive across phone, tablet, and desktop. No app download required. Works in any browser on any device a technician already carries.
Large tap targets, minimal text input, and QR-based asset lookup. The interface was designed for people who cannot use a keyboard in their working environment.
A dedicated simplified interface for technicians — focused on the jobs assigned to them, the assets they are working on, and the information they need to complete the work correctly.
Scan any asset's QR code on a mobile device to pull its full history, current work orders, open defects, and condition status — no navigation, no search, instant access.
AssetIQ is architected to grow with your operation. Whether you are running a single-site pilot or managing assets across multiple countries, the platform scales without re-implementation, without pricing penalties, and without starting over.
Deploy on one site, one fleet, one discipline. Prove the value in weeks. The full platform capability is available from day one — you are not restricted to a lite version to start.
Add sites without re-implementation. Each site retains its own operational data and configuration while management gets a consolidated view across the portfolio. No additional consulting required.
AssetIQ is built on cloud-native infrastructure with no ceiling on asset count, user count, or data volume. Tier 1 fleet scale is supported without a custom enterprise contract or a dedicated implementation team.
The commercial case for AssetIQ is not built on software features — it is built on what changes when maintenance decisions are made on data rather than experience, gut feel, and whoever is in the room.
Tell us about your operation and we'll tell you if we can help.
Or reach out directly — info@seamiq.io
Structure, compliance, and learning at every stage of the rebuild process. From strip through dispatch, every action recorded.
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