We believe that technological breakthroughs progress hand in hand with the application of new knowledge to business challenges. That's why we are deeply engaged with the scientific and academic communities that are leading the way towards the innovations and discoveries with the potential to change the world.
Innovative on a global scale with a high-performance, distributed database engine, creating memory and document database paradigms, using dynamic code injection.
A unified system of multifunctional customer behavioral modeling based on customer interaction data.
Development of inference technology and prediction of consumer behavior for the purposes of sales automation and marketing processes.
We're in the position of being able to combine the latest academic insights to our own cutting-edge research to create something that truly changes the way data science drives the industry.
At Synerise, we place a high value on the contributions of our academic partners. Not only do we believe that they can help us lead the way towards further innovation, but we are proud to share the knowledge they uncover in their research. We are dedicated to being part of a growing community of scientists with the common goal of advancing the commercial applications of their amazing, world-changing discoveries.
Full professor, head of the Department of Computer Science in the Faculty of Computer Science, Electronics and Telecommunications of the AGH University of Science and Technology. Member of the Institute of Electrical and Electronics Engineers, the Committee of Computer Science of the Polish Academy of Sciences and the Polish Information Technology Society. He has extensive experience in research on distributed computer systems, computer networks and software architectures.
Habilitated Doctor of Technical Sciences in the field of Computer Science, professor at the AGH University of Science and Technology. Coordinator and founder of the Group for Engineering of Intelligent Systems and Technologies at AGH. He is also a member of the Scientific Council of the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences and specializes in knowledge engineering, including rule-based systems, semantic methods, and software engineering.
Habilitated Doctor of Technical Sciences in the field of Computer Science, associate professor at the University of Rzeszów. Director of the Institute of Computer Science and head of the Department of Intelligent IT Systems of the University of Agriculture. He specializes in data mining methods.
Full professor and head of the Department of Economic Informatics at the University of Economics in Poznań. Head of the Data Science in Business and Administration Doctoral studies. Founder of SmartBrain - Smart and Big Data Research and Innovation Center at UEP. Conducted scientific work at universities in Switzerland and Germany for twelve years.
Habilitated doctor of Technical Sciences in the field of Computer Science, associate professor of the AGH University of Science and Technology and the University of Rzeszów. Director of the Doctoral School of AGH. His many years of research work are focused on the use of formal methods.
Doctor of Technical Sciences in the field of Computer Science, assistant at the Department of Applied Computer Science in the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering of the AGH University of Science and Technology. Member of the Polish Society of Artificial Intelligence and the Group for Engineering of Intelligent Systems and Technologies. He specializes in machine learning and in the field of rule-aware systems.