Smart algorithms in production planning
Together with Industrie Informatik GmbH, RISC Software GmbH developed a comprehensive planning solution for production planning.
Artificial Intelligence for the Future of Production
RISC Software GmbH develops data-driven algorithms and simulation methods tailored to the needs 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-driven decision-making. The focus is on manufacturing processes, material flows, real-time simulation, and production line optimization.
Digital Twins as a Key Technology
A central component of our work is the development of digital twins – virtual replicas of real systems. These allow the simulation of processes, early detection of potential issues, and proactive testing of solutions. This enables risk minimization, improved planning, and maximized efficiency.
With digital twins, companies can:
- Monitor systems in real-time
- Simulate and optimize processes
- Make predictions and implement targeted adjustments
Research with Impact
The close connection between scientific research and industrial practice is our recipe for success. Through interdisciplinary teams and state-of-the-art simulation tools, we develop customized solutions that are already successfully used in light metal production, traffic data simulation, and material flow optimization.
Your Partner for Industrial Excellence
Discover how Industrial AI and simulation can transform your processes. Contact us – we will show you the potential within your company.
Reference Projects
InProSSA: Integration of symbolic and sub-symbolic AI
InProSSA combines symbolic & sub-symbolic AI in one language to solve problems model-independently & choose the optimal approach automatically.
Secure Prescriptive Analytics
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.
NextBase: Intelligent adaptation of production and intralogistics systems
The aim of the project is to enable the use of methods from prescriptive analytics / machine learning in our automation projects. The core objective is the in-line optimization of the parameters on which the control algorithms are based.
From development to product maturity with Docker
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.
EU project Platform-ZERO: Zero-defect production for photovoltaics
The EU project "Platform-ZERO" aims to improve the overall production quality of photovoltaic devices and at the same time reduce manufacturing costs through zero-defect production.
Technical Articles
Industrial AI: From raw data to a more efficient production landscape
The industrial sector, like other areas, is currently going through a phase of digital transformation. This means that manufacturing companies are involved in various digitalization activities [1]. Within this context, industrial data and the way it is processed, visualized and used play an essential role.
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Can data science lead industrial companies out of the crisis?
How it is possible to minimize costs, respond flexibly to fluctuations in demand, and avoid production downtime due to disruption.
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Mastering the (industrial) Data (EN)
How improved manufacturing is created from industrial and production process data.
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Data Understanders: Leveraging enterprise data through intelligent Graph Databases
Graph databases enable intuitive mapping of many real-world scenarios such as industrial manufacturing, traffic data analysis or IT infrastructure monitoring. This makes data not only more efficiently stored, but also much more usable.
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Containerization in software: revolution in deployment processes
How do you deliver a new software solution to customers so that it is easy to use and operate?
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Solutions
AnnaLyze – Natural Language Processing Solutions
RISC Software GmbH supports its customers with long-standing practical experience in the development of customized AI-driven solutions for extracting value from unstructured (text) data.
Data-Check for AI Projects
Maximize the potential of your data and pave the way for the successful application of artificial intelligence with a professional AI data check.
CaTabRa
Automated data analysis, validation, and training machine learning models
RISC AI Trends
Our newsletter „RISC AI Trends“ delivers the latest research and technologies from the world of AI every two weeks.
- Content: Current insights into AI research, trends, and technologies
- Language: German
- Frequency: Every two weeks, by email
