In an increasingly digitalized world, it’s no longer just about collecting and storing information – intelligent use is at the center. RISC Software GmbH develops cutting-edge solutions for data preparation, analysis, and integration that help companies uncover hidden patterns, make accurate predictions, and respond quickly to changes. Using methods from Artificial Intelligence, Machine Learning, and Big Data, raw data is transformed into valuable insights.
Successful analyses begin with high-quality data. Our technologies optimize data integration, cleansing, and structuring from heterogeneous sources – from structured enterprise data to unstructured sensor, image, or text data. Powerful data pipelines ensure that information is efficiently processed and ready for advanced analysis.
Our solutions combine scientific expertise with practical application. Through close collaboration with partners from industry, research, and the public sector, innovative technologies are created that cover the entire development cycle – from ideation to implementation and system integration.
Whether in manufacturing, energy, mobility, or digital administration – data-driven decisions are the foundation of sustainable innovation. Let’s shape the future together with intelligent data solutions.
Das FFG-geförderte Projekt SOLAR-SKIES hat zum Ziel, durch den Einsatz von künstlicher Intelligenz und Datenanalyse die Entwicklung flexibler CIGS-Dünnschicht-Solarzellen zu revolutionieren. SOLAR-SKIES senkt Kosten, steigert Effizienz und fördert Nachhaltigkeit durch innovative Hochdurchsatz-Screening-Verfahren.
The main objective of the “POWERCAST” project funded by the FFG is to increase the cost and supply efficiency of power grids by predicting and optimizing power loads with AI-supported forecasting models.
DiTwin revolutionizes road management with digital twin technology for optimized asset management.
The aim of SafeSign is to increase confidence in driver assistance systems.
In the FFG-funded research project NEEED, researchers and developers from RISC Software GmbH, SCCH GmbH and Newsadoo GmbH worked together to expand the Newsadoo technology to include an evolutionary graph of local, national and international news events.
The main objectives of the MUST project are to directly and indirectly influence mobility behavior in terms of climate and environmentally friendly traffic management through traffic avoidance, modal shift and traffic improvement. For example, the aim is to test which combinations of information can be used to transport traffic information across target groups in order to achieve positive effects.
The FFG-funded project “SafeRoadWorks” primarily aims to increase safety on highway construction sites for both drivers and workers.
In the FFG-funded research project FLOWgoesS2T, researchers and developers from XEBRIS Solutions GmbH, aiconix GmbH and RISC Software GmbH worked together to analyze telephone voice messages on Austrian traffic events.
In the AWS-funded research project “Act4Whistleblowing”, researchers and developers from RISC Software GmbH dealt with the automated processing of textual information from the whistleblowing system of Compliance2b GmbH.
Development of an intelligent algorithm that delivers personalized messages based on user behavior
TRAPH aimed to design and prototype the data management of ASFiNAG’s new traffic management and information system 2.0.
The “RegioLog” project aims to bring together producers, retailers, large-scale kitchens and small catering businesses via a joint platform to make the purchase of regional and organic food more traceable. The CO₂ footprint of each product is mapped transparently, including logistics and transport routes.
The RESINET project addresses the issue of resilience of energy grids, taking into account the change in framework conditions from centralized, unidirectional systems to grids with a significantly higher share of renewable, fluctuating energy feeders (“prosumers”), increasing storage capacities in the grid interconnection and controllable loads.
The goal of the ITS Upper Austria project is the operation and further development of a real-time traffic situation image for the province of Upper Austria.
Experience KOALA (Knowledge-Oriented AI Language Assistant), the revolutionary AI-powered knowledge platform designed to provide companies with a powerful and secure solution for context-based information processing.
RISC Software GmbH supports its clients with extensive hands-on experience in developing customized, AI-powered solutions for extracting value from unstructured (text) data.
Automatically analyze and validate data and use it to train machine learning models
Maximize the potential of your data and pave the way for the successful use of Artificial Intelligence – with a professional AI data check.
Our newsletter “RISC AI Trends” delivers the latest research findings and technologies from the world of AI every two weeks.
