RISC Software GmbH develops data-driven algorithms and simulation methods tailored specifically to the requirements of the industry. Our solutions enable real-time analysis of complex production processes, optimize workflows, and increase resource efficiency. We rely on machine learning, advanced algorithms, and big data analytics to support precise, data-based decisions. Our focus is on manufacturing processes, material flows, real-time simulation, and the optimization of production lines.
A central component of our work is the development of digital twins – virtual representations of real systems. These enable process simulation, early detection of potential issues, and proactive testing of solutions. This allows companies to minimize risks, improve planning, and maximize efficiency.
With digital twins, companies can:
The close connection between scientific research and industrial practice is our recipe for success. Through interdisciplinary teams and cutting-edge simulation tools, we develop customized solutions that are already successfully applied in light metal production, traffic data simulation, and material flow optimization.
Discover how Industrial AI and simulation can transform your operations. Get in touch with us – we will show you what is possible in your company.
The Secure Prescriptive Analytics project aims to develop an innovative modeling concept that breaks down complex systems, such as industrial plants, into variable sub-models and represents them through surrogate models. The goal is to create an open-source platform that supports the optimization and integration of these models.
Thema des Projekts ist es, die Nutzung von Methoden aus Prescriptive Analytics / Machine Learning in unseren Automatisierungsprojekten zu ermöglichen. Kernziel ist die in-line Optimierung der den Steuerungsalgorithmen zugrunde liegenden Parameter.
RISC Software GmbH supported the LKR Leichtmetallkompetenzzentrum Ranshofen in rolling out a software product for production in continuous aluminum casting. In order to unite different user environments and versions, the Docker platform was used.
Das EU-Projekt “Platform-ZERO” zielt darauf ab, die allgemeine Produktionsqualität von Photovoltaikgeräten zu verbessern und gleichzeitig die Herstellungskosten durch eine Null-Fehler-Fertigung zu senken.
The EU-funded Horizon Europe project MetaFacturing aims to advance digitization in the field of metal part production – casting and welding.
The opt1mus project is developing a holistic system for the light metals industry that will use digital twins and artificial intelligence to make production more efficient and lower emissions.
RISC Software GmbH supports its clients with years of practical experience in the development of customized, AI-driven solutions to generate value from unstructured (text) data.
Maximize the potential of your data and pave the way for the successful use of Artificial Intelligence – with a professional AI data check.
Automatically analyze and validate data and use it to train machine learning models
Our newsletter “RISC AI Trends” delivers the latest research and technologies from the world of AI every two weeks.
