Safe, Circular, and Built to Last

Our goal is to eliminate energy-related CO₂ at the furnace. Current state-of-the-art hybrid melters already operate at roughly half electric input, and our R&D furnaces are running at 70% or higher to push efficiency and stability.

We’re advancing H₂/O₂ combustion where the primary exhaust is water vapor, and refining electric boosting with novel electrode layouts for precise heat distribution. Integrated heat-recovery and optimized oxy-systems further reduce total energy demand. The roadmap links renewable electricity to both direct electric heating and green hydrogen generation, creating a truly low-carbon energy cycle for glassmaking.

We are developing carbonate-free batch chemistries that remove process emissions at the raw-material stage, while protecting melt quality and downstream forming. On the cullet side, high-fidelity laser sorting and AI recognition raise purity and enable higher recycled content without compromising strength or clarity.

Formulations are tuned for elevated cullet ratios, viscosity control, and color stability, supporting closed-loop targets validated in member trials. The result is cleaner inputs, lower melt CO₂, and a more resilient circular supply chain.

Lightweighting is engineered, not guessed. We use FEM and CFD to model container geometry, thermal gradients, and stress paths, then iterate virtually to remove mass without sacrificing performance. Virtual prototyping shortens tooling cycles and cuts physical trials, while machine-learning models map stable forming windows so plants can hit minimum-weight specs with confidence.

The approach has enabled ultra-light designs for wine and beer that maintain shelf presence, line stability, and impact resistance.

Zero-defect is a process, not a slogan. Full digital traceability links every container to its forming conditions, materials, and inspection results, creating a container-level genealogy through the line. High-speed vision systems, paired with ML anomaly detection, flag deviations early and inform predictive maintenance before defects propagate.

Inspection data closes the loop with process controls so quality drifts are corrected in real time. Plants see measurable scrap reductions and tighter capability indices—proof that data can directly improve sustainability by preventing waste.