Stabilizing Fluctuations in Recycled Material Processing Using AI

In the Rezi-KI research project, SKZ and plus10 are developing AI predictive models that calculate the probability of scrap in real time based on process and material data and automatically adjust process parameters—with the goal of processing fluctuating post-consumer recyclates in injection molding as consistently as virgin material.

16.6.2026
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News from plus10

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Media Reports
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Success Story
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Media Reports

How Aumovio Brings Transparency to Its Mega-Factories

The " shop floor" Shannon assistance system from plus10 provides round-the-clock, real-time recommendations for troubleshooting and process optimization at the Aumovio megafactories in the Czech Republic, Romania, and Serbia. At the Brandýs plant, this has already increased production availability for large display assemblies by up to five percent.
8.5.2026
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Media Reports

Why Industrial Automation Needs (Artificial) Intelligence

How plus10, in collaboration with Aumovio, optimized highly automated display manufacturing at the Megafactory in Brandýs (Czech Republic): Using the AI assistance system Shannon and a new edge-to-cloud architecture, equipment availability increased by up to 5%—all implemented in less than six weeks.
4.5.2026
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Media Reports

plus10 at the ARBURG Technology Days 2025

At the ARBURG Technology Days, plus10, together with ARBURG, showcased Hopper, an AI-powered software tool integrated into the Gestica control system: This self-learning optimization solution analyzes quality-relevant parameters in real time and provides machine operators with guidance on process optimization—even before scrap can occur.
27.4.2026
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Media Reports

Data is the key

How a casual after-work conversation at a trade show led to the founding of plus10: Fraunhofer Magazine tells the story of the IPA spin-off—from its first AI tools for error analysis to productivity gains of up to 20 percent for clients such as Freudenberg, Roche, Ypsomed, and Aumovio.
16.12.2025
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Media Reports

Smart Commissioning, Stable Production Runs

How plus10, in collaboration with machine manufacturer Zahoransky, shortened the startup time of an injection molding production line by 20% and reduced scrap during the ramp-up phase by 10–17%—using the live-learning AI tool Hopper in GMP-critical, fully automated 24/7 operation.
26.9.2025
Product

Cycle Time Optimization in Automated Machining

Similar or even identical machines with comparable processes often do not run at the same productivity level. To create more transparency about possible optimization potentials, plus10 offers the intelligent software tool Darwin.
Christian Schmitt
31.5.2022
Success Story

AI-based quality optimization for high-tech production lines

The automotive supplier Valeo has started an application-oriented research and development project with the Fraunhofer AI spin-off plus10 and the AI institute AImotion Bavaria of the Ingolstadt University of Technology. The aim of the project is to increase the efficiency of highly automated production lines with the help of novel machine learning algorithms.
Felix Georg Müller
27.1.2022
Company

Allow machines to learn from each other across manufacturers

plus10 is conducting application-oriented research together with the Southern German Plastics Center SKZ as part of the DarWIN project on new AI-based optimization tools for injection molding machines. The aim is to develop continuously learning models in a practical manner that adaptively enable higher quality with shorter cycle times around the clock
Felix Georg Müller
18.1.2022
Company

plus10 among Top 3 Startups at Factory of the Year

plus10 is one of the three best startups at the renowned industry competition Factory of the Year in the category "Startup Challenge". With an innovative AI optimization software for automated production, the young company from Augsburg and Stuttgart was able to convince the expert audience.
Felix Georg Müller
22.6.2021
Success Story

Established companies and start-ups? This is how successful cooperation works

Every second mechanical engineering company has already entered into a partnership with a start-up. Concrete results do not always follow from such a partnership. Christian Riendl, Hosokawa Alpine, and Felix Müller, plus10, reported on the success factors and challenges of their joint collaboration at this year's tea Technology Transfer Congress in Augsburg.
Felix Georg Müller
27.1.2021
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