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Industry

Metals and building materials

Energy-intensive, high-temperature operations where asset availability and energy intensity dominate the cost structure.

Where value is typically lost

  • Furnace, kiln and mill availability losses
  • Refractory and wear-part failures with reactive replacement
  • Energy intensity variation between campaigns
  • Downgrade and off-specification product

Where intelligence applies

  • Asset and cause ranking by financial exposure
  • Campaign-level energy intensity comparison
  • Wear-part life and replacement planning evidence
  • Downgrade costing by cause

Sample demo

See what an operating view looks like.

A short, anonymous sample on simulated data. To see more modules and your own figures, contact us.

Sample dashboard: Steel and metals

A melt shop and rolling mill view: power per tonne, yield, cobbles and the decisions that protect margin.

Example operational data.

This short sample shows executive command view, ai alert engine, melt shop, rolling mill. The figures are simulated and no company is shown. To see the remaining modules and your own data, contact us.

Contact us for the full demo

Data we typically work from

  • Historian and control system data
  • CMMS work orders and failure history
  • Production and quality records
  • Energy metering

A sensible starting point

Start with the constraining asset. Its downtime and energy record usually contains enough history to build a defensible exposure model.

Industrial Intelligence Diagnostic — 10 business days. Contact us for cost; the fee is credited against an approved deployment.

Find the right starting point for your operation

Answer five questions and we will tell you which engagement fits, what it costs, how long it takes and what we need from you. Or book a complimentary 30-minute fit consultation.