Partnership

Become our business partner

Our main area of activity is the market of hardware and software producers creating non-invasive tools for testing gas and liquid flows (PIV – Particle Image Velocimetry; LDA – Laser Doppler Anemometry). Companies of this type produce high-class measuring equipment along with software for analyzing and visualizing results. The SVF (Sampled Vector Fields) test methods created in the base design can be a significant complement to this type of solution.

A potential application of computational topological dynamics methods is the detection and tracking of flow anomalies (persistent homology of Morse distributions) and the processing of vector data for machine learning (classification). The unique nature of our methods should give a market advantage, and thus be a great incentive for their industrial use.

Building relationships and enhancing business

We want to identify industrial problems with stakeholders that can be solved with our methods. We expect that cooperation at this stage should take place on the basis of rapid prototyping solutions to specific problems using our technology.

Together with the entities most interested in our technology, we want to develop a further strategy and start close R&D cooperation. The goal here will be to refine the technology based on existing prototypes. This is possible thanks to research and development work financed by both one of the agencies supporting science (NCBiR, European Union programs) as well as the business side.

The activity of Topological Dynamics is based on data processing technology using computational topological dynamics. We partially base it on established cooperation with manufacturers of measuring equipment. However, we want the scope of our activity to be broader and allow us to offer solutions in the area of software and data analysis services.

At a time when data drives science, industry and development, this is a natural direction for us to develop for our team and partner cooperation.

Contact us

We plan to further develop our technology based on cooperation with industrial partners potentially interested in our data analysis methods. We are aware that our technology requires adaptation to industrial conditions.

This can only take place on the basis of long-term cooperation between science and industry.

Email
mateusz.juda@ii.uj.edu.pl

Visit us

Division of Computational Mathematics
of the Jagiellonian University

ul. prof. Stanisława Łojasiewicza 6
30-348 Kraków