DaVinci

Furnace
Intelligence
White Paper

Tracking to Tapping

How DaVinci MES Orchestrates the Entire Metallurgical Chain. A first-of-its-kind white paper that explores how AI-driven execution is transforming thermal metallurgy—from charge intelligence to autonomous tap control.

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Why This White Paper Matters

In metallurgical manufacturing, even minor inefficiencies in melt dynamics can lead to major losses in energy, yield, and quality. Most MES systems today offer digitization—but not orchestration. DaVinci Smart MES, powered by Ignis AI, is rewriting this paradigm.

What You'll Learn

Legacy MES Limitations

Why legacy MES systems fall short in high-heat metallurgy

Neural Intelligence

How Ignis AI uses neural intelligence to optimize melt dynamics

Cyber-Physical Architecture

The architecture behind DaVinci's cyber-physical orchestration layer

Real-World Outcomes

Lower scrap, tighter melt-to-tap timing, and improved ESG performance

Full-Spectrum Traceability

How traceability is achieved—from raw material to final casting

Process Optimization

Real-time process optimization across the entire furnace lifecycle

Who Should Read This

Plant Managers

Operations Heads

Optimize production efficiency and reduce operational costs

CTOs

Digital Leaders

Lead the digital transformation of manufacturing processes

Quality Officers

ESG Compliance

Ensure quality standards and environmental compliance

Metallurgists

Production Engineers

Implement advanced process control and optimization

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Get instant access to "Tracking to Tapping" - your guide to intelligent metallurgy

"Tracking to Tapping" White Paper

PDF Format • Free Download

Why It Matters

This is not MES as usual. This is intelligent metallurgy, orchestrated in real time. Whether you're running an EAF, converter, or ladle metallurgy station, DaVinci Smart MES gives you the predictive control and plant-wide synchronization needed to thrive in today's high-variance, high-stakes production environment.