Wilfried Vancraen
Analyst · Lake Street Capital
Good morning, and good afternoon, everyone. While, given the excellent and consistent performance, our Manufacturing and Medical segments would normally deserve some attention from me in this call, I want to focus fully on the launch of our new Software product at RAPID in mid-May. I'm proud that the full launch of Magics 26 is taking place as planned despite the war in Ukraine, where a large portion of the development team is located. After a week of destabilization, while really escaping from the danger zones, our collaborators picked up the work again and diligently worked through the last burst so that we can release an exciting and stable product to our customers. The biggest innovation in Magics 26 is the incorporation of the Siemens Parasolid kernel. This opens an entire range of new opportunities to our users. They can make more adjustments to the original design files using CAD operations to increase the printability of the files. On top of some productivity improvements for specific products, it has the advantage that the adjusted design data can remain compatible with the PLM systems and are easiest to use for post-processing steps such as CNC milling operations. Of course, there are several additional new features, which further enhance the productivity for our users such as serious 3D nesting speed increase. However, I'm most excited about the launch of the new co-am platform illustrated on Slide 5. At Materialise, we have learned over and over again in our different Manufacturing and Medical production lines that the secret of a successful and profitable production line based on AM is not an exceptional material or a flawless printer that delivers 3D printed finished parts. That simply does not exist despite all marketing claims from some hardware manufacturers. The success depends on the skillful integration of design optimization, well-controlled material conditioning, printer process control and diligent execution of a wide variety of post-processing techniques by well-informed planners and operators. The human factor in the success of fluently operating AM production lines cannot be underestimated. But this implies a huge risk and dependence on a limited number of knowledgeable experienced technicians in the era of the great resignation. That is one of multiple reasons why Materialise is launching its co-am platform. The co-am platform provides an environment where the skilled operators can be supported by a variety of collaborating software tools that increase their efficiency. It is a customer-owned platform that ensures that a good amount of the knowledge of the process planners and operators can be captured, stored and automated. Central in the co-am platform is the data lake that structures the information and secures access by the right stakeholders. First, the collaborators of the owner of the production line need access to a lot of the data and function of their skills and responsibilities. But certain portions of the data can also be interesting for the suppliers of printers and post-processing machines to ensure their maintenance and proper machine functioning. The qualitative data lake is the basis for increased learning, be it by data analytics done by the process planners or artificial intelligence that can accelerate the learning. Around the co-am data lake is a variety of software tools that will ensure that the classical plan, do, check, act or learn cycle that is a common tool in our production environment can be performed in endless self-reinforcing loops. These tools cannot only come from Materialise and Link3D, although we provide a comprehensive and integrated tool set. But as it is a fully open system, they can also come from external providers. We will announce the first external partners on the co-am platform at RAPID. The data lake is set and used by the different software tools that are needed to run a digital AM production line. It starts with the data input where the storefront software, that is fully launched at RAPID, can ensure efficient data input for internal and external AM service operations in small and large companies. Of course, it is also possible to directly link with existing ERP systems such as those from SAP. And 3D printing is mainly economical in small series or in one-of-a-kind manufacturing conditions. The ability to build first-time-right is paramount for economic success. Therefore, the importance of the tools that can be used in the planned phase cannot be underestimated. It's here that Materialise has a huge legacy with Magics and all its models such as automated support generation, nesting, simulation and so on. We announced a new generation of tools for even more in-depth preparation of parts in certified manufacturing environments with a new process fueler. And that's another product launch where we announced full commercial availability out of RAPID. Another launch is about the new workflow automation solutions that contribute to improved planning productivity, while reducing the human error factor drastically in the planning phase. Consistent execution is key in the Do phase, and it is ensured by the manufacturing execution system that can interact in a very human-centric way with all the hardware and software tools that constitute the production line. That is precisely what Link3D has created in a well-structured open base, and this is now enhanced with additional components such as the build processes from Materialise. And again, we allow all the third parties. Thanks to the AMWatch software, the data generated during the production phase can be fed to the co-am data lake for constant monitoring and analysis, which brings us in the Check phase, where quality control is done with a variety of tools such as tensile benches, CMM measurements or metallurgical analysis tools and also those generate data; data that needs to be saved and linked to what happens in the manufacturing process. Bringing all these data together in the co-am data lake offers the opportunity for intense learning in order to optimize the process, both for the optimal economic performance and minimum environmental impact. Our experience with artificial intelligence algorithms that serve the people setting up and operating the AM production lines will enhance the learning, while also consolidating the process know-how in the data management system. Given its user base, comprehensive toolset and experience, Materialise is uniquely positioned to accelerate the use of AM production lines, and we will demonstrate the concept at RAPID, where we hope to see you all. And let me now pass the call to Johan.