At Software Competence Center Hagenberg GmbH, we specialize in delivering cutting-edge software solutions tailored to the unique needs of our clients. Our team of experienced professionals is dedicated to fostering innovation and driving success through advanced research and development in software engineering. We collaborate closely with partners across various industries to ensure our offerings are not only robust but also forward-thinking. Join us as we continue to push the boundaries of technology and transform ideas into reality.
Other enabling technologies
Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains(Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurementRobotic / handling - and assistance systems
Data technologies, data ecosystems and cross-linking
(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologiesSimulation models and predictive analytics to assess the scalability of circular processes across industriesAlgorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
FedProM redefines integrated process modeling and optimization across entire value chains under data-privacy.
Already defined
Expertise offered
Data technologies | (AI based) process and system control technologies
Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths