Hopper is the Process Parameter Recommender that continuously recommends injection molding parameters to reduce scrap by up to 20 % – learning from live data and adapting to changing conditions.
Hopper was developed to address a fundamental challenge in modern manufacturing: inefficiency caused by changing raw material properties and a shortage of skilled workers. Our solution supports Plant Managers, COOs and Injection Molding Engineers who struggle with high scrap rates, long ramp-up times, and inconsistent productivity across shifts. Instead of relying on manual “trial & error,” Hopper provides situational recommendations for specific parameter adjustments for machine and temperature control units – based on a virtually learned ideal process and respecting validating windows. This ensures consistent quality, reduces scrap, shortens ramp-up times, and boosts overall efficiency—especially with complex molds. Your tangible benefits: more good parts per hour, faster setup, and sustainable production efficiency. Hopper enables scalable process knowledge and empowers teams to operate at expert level—regardless of shift or experience.
