Modern Visual Data Science is an excellent tool for developing a future low-emission autonomous vehicle. Furthermore, simulation technology has long since become indispensable for modern automotive engineering: from Simulation Ensembles to Artificial Intelligence.
Data Science is an interdisciplinary cross-sectional discipline. We help companies to turn data into information and knowledge using methods and possibilities of Machine Learning, Data Mining, Visual Data Analysis and Artificial Intelligence.
Especially in this important branch of industry, where questions of sustainability are just as important as efficiency in the use of resources and costs, the correct evaluation of the data material is of extreme importance.
Visual Computing opens up new possibilities in geology to work with perfect copies of reality, whether of tunnels, the surface of Mars or spinel minerals.
Data volumes are difficult to understand or even analyze, especially due to their quantity. Visual Computing can help to gain information and benefits from the many sensor- and time-dependent data. Data modelling, data analysis and data evaluation, but also pattern recognition and Machine Learning become possible by Visual Computing.
To support complex infrastructure and construction projects, we have been researching both intelligent reconstruction and reality capturing methods for many years. We are specialized in urban planning and smart city, energy and heat planning, light simulation and infrastructure planning.
As a result of global warming, extreme weather events are becoming more and more frequent. Our interactive simulations offer a great number of possibilities to optimize modern water-sensitive urban and landscape design.
Due to the digital transformation, the real and the digital world grow together more and more. This is of special importance for cultural heritage and creative industries since Visual Computing opens up new possibilities for documentation, monitoring, mediation and research of art objects, buildings or world cultural heritage regions.
In the life sciences, researchers in biology, medicine or chemistry are concerned with investigating the central questions relating to the processes and structures of living organisms. At VRVis, we have been researching solutions for precisely this data-driven life science and biotechnological research for many years.
Our goal is to support modern medicine through innovative technologies and intelligent applications to better prevent diseases, detect them faster and treat them more efficiently. To achieve this we use the latest methods of visualization, image analysis and data science.
Through its research and development work, VRVis contributes to the achievement of 10 of the 17 Sustainable Development Goals (SDGs) of the United Nations.
In space research, visual computing is one of the most important technologies available today, as innovative visualization methods can translate the complex space and satellite data into comprehensible, three-dimensional imagery and thus bring it closer to people - from experts to laymen. In recent years, VRVis has established itself internationally as an important partner in the visualization field for space research.