Partnering opportunity

Data source independent visualisation software of big data (spatio-temporal)


An Austrian SME has developed a software framework to process, analyze and visualise spatio-temporal data from a wide variety of data sources. The open infrastructure can be easily adapted and maintains a high performance by scalable treatment of large data. Potential application fields are land surveying, 3d imaging in medicine, manufacturing and logistics. The company is looking for partners from industry and academy interested in license or service agreement or research cooperation agreement.

Partner sought

The Austrian company is looking for industrial partners, interested in licensing and integrating the software into their GIS-system. Furthermore, the SME offers a service agreement to visualise the data sets. Potential partners could be land surveying offices or any other public or private company active in assembling and interpreting land and geographically related information. Additionally, they are interested in novel application fields such as medical, mechanic and logistic sector. Potential partners could be from industry, Universities or private research organisations interested to integrate the software into imaging technologies such as computer tomography under a research agreement or any other form of cooperation.


Visualization, simulation, and data analysis have become the principal means of understanding vast data set in industry, engineering as well as sciences. Industry and engineering innovation in almost every discipline has been revolutionized through the use of highly details and accurate digital representations of physical objects. The challenge of future businesses is the interpretation and visualization of massive volumes of digital data. An Austrian SME specialized in computer science has developed a software solution to visualise and operate big data sets (spatio-temporal) with applications in the field of land/environmental surveying. Spatio-temporal data contains both space (distance, direction, shape, etc.) and time (occurrence time, duration, occurrence before or after other events, etc.) information. As a flexible general software framework with the ability to handle large amounts of data (e.g. 50 TB of Lidar data), the technology can be customized and combined to work with any data acquisition hardware device or method used to collect data (i.e. observational or computational). Examples of data acquisition hardware devices include a variety of technologies such as LiDAR, CT, MRI or sonar technology, GPS, GIS systems and more. The 3D high resolution visualisation is used in geology, geodesy, geomatics, geomorphology, laser altimetry but also in industrial and engineering applications. Typical market application addressed by the technology is environmental surveying assessed by public authorities. In addition to the traditional fields of application, the software is applicable for the processing and visualization of medical 3d imaging or CT (computer tomography) data in manufacturing or logistic processes. The Austrian SME is searching for partners interested in commercial and/or scientific exploration of big spatio-temporal data sets. The company is open to collaborate with industrial companies under a license or service agreement or with Universities and private research institutes under a research cooperation agreement.

Advantages and innovations

The main advantage of the software framework is a high speed performance of processing big data and open to a wide category of data. Short facts: - Operating platform independent (Linux, Window, MacOS on request) - C++ Framework with QT GUI (grafical user interface) - Focus on large data sets and multiple data sources - high image resolution due to raw data (no data formatting necessary) - F5 database with documented data origin index structure and fragmentation - Modular processing tool design and workflow combination (e.g. GUI assisted and batch processing)

Development stage

Already on the market

Intellectual Property Rights (IPR)


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