About Us

MultiRáció Ltd. is an innovative consulting company specializing in state-of-the-art methods of predictive analytics and machine learning solutions which address the needs of all kinds of businesses and organizations.

MultiRáció was founded in 1992 by two physicists and an economist. The company has been providing data analysis and forecasting of economic and financial data, designing and implementing information systems for its clients ever since then. The name of the company reflects the multitude of the fields of expertise  its founders have.  These require rational thinking, an analytical mind and a thorough knowledge of macro and microeconomics.

MultiRáció has been developing the open source office software EuroOffice as well since 2001. We believe that open standards such as the OpenDocument Format is the key for the long term freedom and availability of information.

MultiRáció constantly strives to apply state-of-the-art data science methods and informatics solutions in order to support its clients in gaining knowledge and valuable information out of an ocean of unstructured raw data.



We are experts in these (somewhat overlapping) topics: data science, statistics programming and scientific programming.

Most of us hold physics degrees and we have a mindset that regards the world as a huge puzzle. This puzzle may never be solved completely but it can be always approximated, modelled and predicted with the power of advanced mathematics. With this kind of thinking, our data science experts successfully created solutions for various prediction, estimation and classification problems. We are using the best and proven methods and algorithms for regression, spatial and temporal correlations, time series forecasting, supervised and unsupervised machine learning. We are also able to offer solutions to ordinary or partial differential equations, including problems that need Monte Carlo methods to be solved

Our theoretical expertise is supported by the practical skill sets of our programmers. We use both popular data science programming languages: Python and R, together with their common software libraries like SciPy, NumPy, Pandas or dlm, ggplot2, etc.  We also have experience with web-based data presentation interfaces like Jupyter or Shiny.