Digitize your die casting operations with confidence

Monitizer Process | Diecasting
Monitizer Process | Diecasting

Die casting is a highly interconnected, data‑intensive process. Small deviations in melt quality, dosing accuracy, or thermal stability can quickly lead to defects, increased scrap, rework, energy consumption, and overall process instability.

Monitizer helps die casters and light‑metal foundries understand, control, and continuously improve their process using real production data.

From melting and holding through dosing, shot control, and downstream finishing, it provides a connected, consistent view of the entire die casting operation.

By combining deep light‑metal process expertise with industrial IIoT technology, Monitizer turns complex production data into clear, actionable insight -helping teams reduce variation, stabilize performance, and make better decisions, faster.

When die casting complexity becomes visible and manageable

Modern die casting operations generate large volumes of data across melting furnaces, dosing units, casting machines, tools, and downstream processes. Yet critical process relationships remain hidden because data is fragmented and disconnected.

Typical challenges in die casting operations:

  • Siloed and incomplete data prevents a holistic view of the process.
  • Process knowledge locked in experts, not systems
  • Limited visibility leads to reactive actions and limits scalability

Monitizer turns this complexity into control by connecting, structuring, and contextualizing die casting data across the operation – enabling earlier intervention, shared understanding, and continuous improvement based on facts, not firefighting.

When die casting complexity becomes visible - and manageable

Reduce your key cost drivers in die casting

Reduce energy waste from defects and re‑melts

  • Defects drive re‑melt, rework, and excess energy use
  • Late detection increases scrap costs and wasted capacity
  • Real‑time process visibility enables earlier intervention

Reduce scrap and protect profitability

  • Scrap directly impacts yield, margin, and throughput
  • Interacting process conditions are hard to see manually
  • Stabilizing critical parameters reduces scrap at the source

Bring clarity to complex die casting processes

  • Hundreds of interacting parameters across machines and tools
  • Manual optimization is time‑consuming and inconsistent
  • Structured data enables fact‑based decisions and stable production

End‑to‑end visibility across the die casting process

From melting and dosing to casting and finishing, Monitizer provides a connected, consistent view of the entire die casting operation.

Gain process visibility

  • Create a single, unified view of die casting production data across machines, cells, and plants.

Turn data into actionable insight

  • Track quality, stability, energy use, and equipment performance in context. Identify trends, correlations, and early signs of deviation before they impact production.

Drive measurable performance improvement

  • Use data‑driven insight to reduce variation, stabilize operations, and continuously improve performance – with a foundation ready for advanced optimization and AI support.
End‑to‑end visibility across the die casting process

“When die casters gain real‑time transparency across melting, dosing, and casting, complexity turns into control. Teams can act earlier, scale improvements, and make better decisions with confidence.”

— Florian Kulawik, Global Product Manager

See Monitizer in action

The best way to understand how Monitizer supports die cast operations is to see it applied to your process.

Monitizer | Image
LPDC Case Story

Low-pressure die casting wheel manufacturer reduces scrap by 29% with Monitizer | PRESCRIBE AI

For one of the world’s foremost low‑pressure die casting (LPDC) manufacturers of premium light‑alloy wheels, uncompromising quality and reliability are absolutely essential.

HPDC | Monitizer

Automotive parts die caster cuts scrap by 52% with Monitizer | PRESCRIBE AI

Discover how an automotive parts manufacturer reduced scrap by 52% using AI-powered process optimisation, improving quality, lowering costs and increasing production efficiency without disrupting existing operations.

Reducing scrap rates for plants and foundries around the world

Reducing scrap rates for plants and foundries around the world

Discover practical ways to reduce scrap, improve quality and lower production costs using real-time data, IIoT and AI to identify process issues before they become costly defects