Production Optimisation · IRON & STEEL
Casting that adjusts itself to hit precision, quality and material targets.
Industrial casting depends on tight control of temperature, pressure, flow and material usage — most of it still managed manually against shifting conditions. The XMPro AO Platform fuses live casting telemetry into a digital twin, predicts quality and maintenance outcomes, and surfaces real-time guidance to the operator so process variation gets caught before it becomes scrap.
What's getting in the way today.
Casting is precision work running against variable conditions and human-paced control. Five pressures compound:
Precision in casting
Achieving target precision is critical for product quality but hard to hold consistently across manual processes and changing conditions.
Resource utilisation
Optimal use of materials and energy is essential for cost-effective operation — hard to manage without continuous telemetry and guidance.
Quality control variability
Consistent quality requires continuous monitoring and adjustment, which is labour-intensive and prone to human error.
Downtime and maintenance
Unplanned downtime from equipment failure or process inefficiency drags throughput and crew time.
Environmental compliance
Adhering to environmental regulations and minimising waste and emissions is an increasingly hard line to hold.
Casting Guidance — how it works.
A continuous picture of the casting process — mirrored as a digital twin, fed by live telemetry, and surfacing real-time guidance so the operator catches drift before it becomes a defect.
The platform integrates temperature at each casting stage, pressure and flow rates, material usage, cycle time, equipment condition, product quality measurements, energy consumption and emissions data continuously. A digital twin mirrors the full casting process so operators can visualise the impact of process-variable changes before making them. Predictive analytics forecast quality outcomes from current process state and forecast equipment maintenance needs. Customisable workflows automate parameter adjustments inside configured bounds, and dashboards surface real-time guidance to the operator with reasoning paths attached.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Quality steered, not inspected
Real-time predictive guidance catches process drift before it shows up as a defect, so quality control runs ahead of scrap.
Material and energy as leverable lines
Per-cycle material and energy baselines turn aggregate cost into a ranked optimisation target.
Predicted maintenance windows
Equipment-condition forecasting moves casting maintenance from emergency response into scheduled work.
Built for these industries.
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Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
