Product novelty 14. September 2026

jora.twin goes beyond conventional dashboards and decision-support systems, closing the last mile toward autonomous process control. For the first time, the software combines production data, physical principles, and domain expertise in a hybrid AI process model that predicts the behavior of extrusion lines up to 60 minutes in advance and continuously optimizes process settings in real time.

By enabling predictive rather than reactive process control, jora.twin significantly reduces process variability, even when processing high levels of recycled material and operating under changing environmental conditions. The vendor-independent solution has been specifically developed for extrusion applications and proven in industrial environments.

The economic benefits are immediately measurable: up to 80% less scrap, 6% lower material consumption, 20% lower energy usage per tonne, and 10% higher throughput. Overall, production costs can be reduced by 5 to 10%.

In addition to improving productivity and profitability, jora.twin enhances the sustainability of extrusion processes through lower material and energy consumption. Transparent AI recommendations empower machine operators to better understand their processes and continuously optimize performance.