About this event
Discover how to make a difference in your business with Materialise’s software solutions at AMUG: a conference designed by AM users, for AM users. Schedule a meeting with our team at booth 82 in salon D to discover how you can improve lead time, production quality, and ROI with our Pre-Print and AM Digital Factory Software solutions.
Why attend?
- Learn how you can turn complexity into simplicity with our Pre-Print AM Software solutions
- Discover what’s new in Magics, the industry’s leading data and build preparation software
- See how automation with e-Stage for Metal+ and the Magics software development kit can boost your AM productivity
- Learn how to plan, control, and optimize every workflow in your AM operations with our CO-AM Software Platform
- Discover how to drive productivity by capitalizing on data insights with our AM Digital Factory Software
- Hear about our latest product launches and what benefits they bring to your production
Our product demos
Meet your future software tools
Conecta y agiliza tus flujos de trabajo de AM a la planta de producción con sistemas empresariales, conectividad de máquinas y soluciones que mejoran la calidad de los resultados.
Mejora la eficacia de la producción, automatiza las tareas repetitivas y optimiza los índices de éxito de la impresión con el software de preparación de datos y construcción líder del sector.
Configure a standard Build Processor with our help, or develop and customize your own using the Build Processor Software Development Kit.
Automate data and build preparation workflows to prevent human error and boost efficiency with the AM Workflow Scripting module.
Centraliza las solicitudes de pedidos, garantiza la entrega a tiempo y agiliza los flujos de trabajo previos a la impresión con la integración de Magics.
Planifica y gestiona todo el proceso de AM para maximizar el rendimiento, optimizar la capacidad y obtener una visibilidad completa de todas tus operaciones.
Build confidence in your 3D-printed end-use parts by demonstrating process stability in R&D, validation, production, and root cause analysis with AI and IIoT.
