To make AI a reality, we work with organisations to determine how they can use and implement AI in their businesses. This requires three things: the right strategy, the right skills, and the right software. We help in all three areas.
MIM Solutions is led by a team of founders. Since its inception, we have been committed to making advanced AI technology accessible to everyone.
The company is the first spin-off of the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw. The main reason for creating MIM Solutions was the desire to transform existing scientific excellence and knowledge about heuristic algorithms into practical solutions.
We apply artificial intelligence to the toughest problems faced by healthcare, retail, government and automotive organisations.
Our goal is to create added value for business, for the society and the human condition. In our work we use primarily scientific method, critical thinking and correctness.
We provide organizations with the most efficient and, at the same time, the safest ML technology, remaining at the forefront of scientific research in this field.
Founder-led and with the majority of PhDs, we have the one of the most experienced teams of AI and ML specialists in Poland ready to support any organisation in AI transformation.
The use of solutions based on AI and ML can significantly improve businesses and society and can provide people with better living conditions.
Our mission is to help people by solving difficult ML problems. In our work, we focus mainly on creating original and inventive solutions tailored to the needs of our clients.
CSO and Founder at MIM Solutions. Professor of CS at the University of Warsaw. CEO at Ideas NCBR.
co-CEO & Founder of MIM Solutions. Assistant Professor at the University of Warsaw.
co-CEO at MIM Solutions. Economist, a graduate of the Warsaw School of Economics and UCD.
Piotr Sankowski
Piotr Wygocki
Ula Sankowska
MIM Solutions awards
MIM Solutions was launched as a spin-off of the University of Warsaw’s Algorithms Group, directed by prof. Piotr Sankowski. The company has brought together experts passionate about solving practical algorithmic problems efficiently, and this has finally evolved towards machine learning. Although MIM Solutions is not a part of the university now, we are still in tight cooperation.
MIM Solutions specialises in difficult tasks. We are proficient in providing effective solutions, especially when standard methods have failed. However, for the most common problems we specialise in, we offer a set of generic services ready to swiftly deploy in any environment.
MIM Solutions is a company registered in the National Court Register kept by the District Court for the City of Warsaw, 13th Commercial Division of the National Court. Register. KRS: 0000581404, NIP: PL5213710082.
A co-founder of MIM Solutions. Professor of computer science at the Institute of Informatics at the University of Warsaw. He works on algorithms, in particular on algebraic methods, dynamic programming, stochastic optimization methods, planar graphs and approximation algorithms.
Winner of the National Science Center Award in the category of natural and technical sciences for the Best Polish Scientist (2018) and the 2018 Crystal Brussels Award. CEO of IDEAS NCBR, the first Polish AI Institute.
Co-founder of MIM Solutions. A graduate from the University of Warsaw with a Ph.D. in Informatics and double master’s degree in Informatics and Mathematics. Assistant professor at the University of Warsaw. Experienced both in the theoretical and commercial aspects of machine learning. His principal focus is on delivering deep learning solutions in socially important areas, predominantly medicine.
Economist, a graduate of the Warsaw School of Economics and University College Dublin (UCD) in Dublin, Ireland. A scholarship holder of the Robert Bosch and the Irish Government. At least 15 years of professional experience in business and government. She is fluent in three foreign languages. At MIM Solutions, she is responsible for the company’s business strategy, marketing and customer contacts.
