Forensic and predictive reliability intelligence

One Reliability Foundation. Two Practical Solutions.

Begin with historical forensic intelligence. Progress toward predictive maintenance advisory when the data, evidence and operating environment are ready.

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No new hardware first. Vendor-neutral. Read-only. Advisory-only. Engineers remain in control.

Two paths. One spine.

Choose the Reliability Question - Not a Technology Label

Forensic Intelligence is the practical first delivery path. Predictive advisory is introduced through controlled evidence gates.

Available first

Forensic Intelligence

Understand what happened - and build the evidence to explain why.

AuraMetrics analyses historical telemetry, events and operating conditions to reconstruct equipment behaviour before, during and after an incident.

It helps identify

What changed and when it began
Which signals and systems contributed
Which causes are most plausible
Where the evidence remains incomplete

Typical outputs

Structured forensic report · Event timeline · Ranked candidate causes · Supporting telemetry · Data-quality observations · Follow-up investigations

Controlled progression

Predictive Maintenance Advisory

Identify emerging degradation early enough to support better decisions.

The same governed foundation can support health monitoring, degradation detection and advisory alerts through historical replay, validation, shadow monitoring and suitable operational use.

It can support

Health and degradation trends
Earlier engineering review
Maintenance prioritisation
Evidence-supported advisory alerts

Typical outputs

Asset-health indicators · Degradation trends · Operating context · Contributing signals · Human-reviewed maintenance insights

Predictive performance is asset- and data-dependent. AuraMetrics validates each application before operational advisory use.

Shared architecture

Two Solutions. One Governed Intelligence Foundation.

Existing-data access

Canonical asset and signal model

Data-quality diagnostics

Operating-context analysis

Engineering and physics features

Evidence and narrative layer

Human governance

Clients do not need to choose between an isolated forensic tool and an unrelated future monitoring system.

Representative applications

Built for Complex, Telemetry-Rich Assets

Integrated mining and processing operation with conveyors, crushers, motors and mobile equipment

Mining equipment

Underground and surface extraction, haulage, drilling and mobile equipment.

Crushers, mills & processing

Load, vibration, current, temperature, pressure and process behaviour.

Conveyors & materials handling

Drive, belt, transfer-point, load and operating-condition problems.

Pumps, motors & hydraulics

Interacting electrical, mechanical and hydraulic signals.

Other telemetry-rich assets

Fixed or mobile machinery with usable operating, condition, alarm or event data.

How an engagement begins

Start with the Evidence You Already Have

Every asset, data environment and reliability problem is different. The assessment determines where available information can support a credible use case.

Priority use-case shortlist

A ranked selection of asset problems with the strongest combination of operational importance, usable evidence and practical value.

Data and telemetry readiness review

An evaluation of signals, history, sampling, event records, operating context, data quality and access constraints.

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Initial industrial proof case

Developed Against the Complexity of a Real Mining Asset

AuraMetrics developed and evaluated its initial reliability framework using an operational 15-year-old longwall shearer.

17.9M+governed telemetry records

30 minpredictive horizon evaluated

Controlledforensic, predictive and health-monitor progression

Initial proof case. Performance and applicability are validated separately for every asset and data environment.

Practical first step

Which Reliability Questions Could Your Existing Data Answer?

Begin by identifying the most valuable use cases and determining whether the available telemetry is ready to support them.

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No new-hardware commitment. No obligation to deploy live monitoring.