Reference projects

InProSSA: Integration of symbolic and subsymbolic AI for industry

InProSSA combines symbolic and subsymbolic AI in one language to solve problems independently of models and automatically select the optimal approach.

voestalpine Böhler Welding: Tradition meets Digitization

In the project for voestalpine Böhler Welding, RISC Software GmbH realized a central digital platform for the structured use of knowledge in welding technology - and thus laid the foundation for efficiency, quality and digital process intelligence.

Project SIGNDETECT: Automated Traffic Sign Detection in Upper Austria

Automated Traffic Sign Detection Successfully Implemented! RISC Software GmbH has developed an AI-powered system for the precise detection and localization of traffic signs in Upper Austria. Efficient use of data helps optimize road management and improve traffic safety.

SOLAR-SKIES: AI-supported optimization of CIGS thin-film PV technology

The FFG-funded SOLAR-SKIES project aims to revolutionize the development of flexible CIGS thin-film solar cells through the use of artificial intelligence and data analysis. SOLAR-SKIES reduces costs, increases efficiency, and promotes sustainability through innovative high-throughput screening processes.

HEART: Precise fluid determination through ECG signal analysis and AI

The project HEART is researching a non-invasive method for monitoring the body's fluid requirements using ECG signals. AI-supported analyses of large amounts of data support precision medicine and offer patients considerable advantages.

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.