Media Reports

ARBURG and AI startup plus10 bring AI-powered scrap reduction to injection molding production

The Recommender Hopper parameter from plus10 is fully integrated into the ARBURG GESTICA control system: It detects the risk of scrap in real time and recommends appropriate parameter adjustments within validated process windows—resulting in up to 20% less scrap. Demonstrated live at TechXellence 2026 in Rocky Hill (USA); the next TechXellence event will take place on November 11 and 12 in Irvine, California, again featuring a presentation and live demo.

October 7, 2026
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Ten technology partners showcased the UPSHIFT network at FAKUMA 2026
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UPSHIFT: Ten companies are combining their technologies into a comprehensive solution for the medical technology sector—powered by plus10’s data intelligence

As part of the UPSHIFT network, ten companies are combining their technologies into a cleanroom-compatible end-to-end solution for medical technology, which was unveiled for the first time as a joint demonstrator at Fakuma 2026. Within this solution, plus10 uses its self-learning AI software, Hopper, to ensure GMP-compliant process stability in real time.
Katja Fettich
27.10.2026
Plastic Technology logo
Media Reports

ARBURG and AI startup plus10 bring AI-powered scrap reduction to injection molding production

The Recommender Hopper parameter from plus10 is fully integrated into the ARBURG GESTICA control system: It detects the risk of scrap in real time and recommends appropriate parameter adjustments within validated process windows—resulting in up to 20% less scrap. Demonstrated live at TechXellence 2026 in Rocky Hill (USA); the next TechXellence event will take place on November 11 and 12 in Irvine, California, again featuring a presentation and live demo.
7.10.2026
Logo of the magazine K-Aktuell
Media Reports

ARBURG and plus10 will showcase AI-powered parameter optimization at Fakuma 2026

At Fakuma 2026, ARBURG will introduce the Hopper AI tool from plus10, which is integrated into the Gestica control system: The self-learning software analyzes quality-relevant process data in real time and automatically suggests appropriate parameter adjustments to the machine operator to prevent scrap from occurring in the first place. On display at ARBURG in Hall A3, Booth A3-3101.
5.10.2026
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