Prevent unplanned extrusion downtime
Moldsonics develops inline ultrasound systems for wear monitoring in high-load extrusion processes.
The system is designed to detect critical wear conditions directly during operation to help manufacturers avoid unplanned downtime, catastrophic failures and unnecessary maintenance intervals.
Current applications focus on extrusion systems with high mechanical and thermal load, including recycling and continuous-process environments.
The goal is not additional process complexity, but more stable and predictable production operation through direct physical condition monitoring.
Typical use cases include: – prevention of unexpected screw and barrel failures – stabilization of maintenance planning – reduction of unplanned production stops – support for asset protection strategies in demanding production environments
The system is designed for industrial deployment: – inline operation during production – retrofit capable – fail-safe integration – minimal operator interaction
We are looking for OEM partners and industrial production environments where downtime prevention and scalable deployment are operationally relevant.
About Moldsonics
Moldsonics is an Austrian technology company specializing in ultrasonic sensor solutions for the plastics processing and injection molding industries. Founded in 2021 as a spin-off based on over a decade of research, the company develops hardware and software designed to provide real-time, high-precision measurement of physical state changes within the molding tool. By replacing assumptions with measurable data—such as flow front detection and cooling end-points—the technology allows manufacturers to optimize process stability, detect quality deviations, and monitor wear in production equipment.
These sensors provide manufacturers with actionable insights that help transition toward more transparent, digital, and climate-neutral production environments. By integrating directly into industrial processes, Moldsonics enables 24/7 monitoring and early anomaly detection, which helps reduce scrap rates and improve overall cycle reliability. The company collaborates with industry partners to implement its technology and has received multiple awards for its contributions to advancing manufacturing innovation and successfully transferring scientific research into industrial applications.
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