Data Science

Machine learning

Mobile apps

Products on demand

Data mining courses

Using Python and libraries for analyzes

Web development

We implement websites and online stores

About us

We are a company operating in the IT field, we focus on issues in the area of data mining and web solutions. Our offer includes courses in statistical methods of data analysis using the Python language, performing data analysis on request for business intelligence purpose, creating mobile applications as well as building websites and stores. An important part of activity is SPC software including interfaces to Digimatic equipment manufactured by Mitutoyo. We create custom made interfaces to other measurement equipment ordered by customers as well as applications using maps. We are based in Kraków, old university town with great intellectual resources in various fields.

Mobile apps

Products on request

Web development

we develop websites and online stores

Courses of data mining

Using Python and Libraries

Data science

Business Intelligence

Mobile apps

  • Native Android and iOS design and programming,
  • Advanced and precise multiplatform implementations of complex multimedia graphic designs,
  • Online, offline apps with on-demand support for data synchronization with the servers (via web services),
  • Geolocation, mapping (online and offline),
  • Multimedia streaming,
  • High performance apps, resource utilization control etc.
  • Car engine testing applications,
  • Websites and online stores using WordPress, WooCommerce and Presta Shop,
  • Unusul applications on request,
  • Services for existing websites like refreshing, upgrading to newer versions of CMS platforms etc.

Our realizations:

VDA (Vehicle Data Analyser)

Software for mobile devices running Android 4.0 or later, and BLUETOOTH device to communicate with…

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MultiTesterApp ver 1.0 Application is designed to work with various measuring devices equipped with DIGIMATIC…

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Data mining

We are living in a “Golden Age of Artificial Intelligence” Jeff Bezos says.

Numerous data warehouses and the growing amount of data make it possible to analyze statistically this data using advanced methods. This allows us to discover dependiences and connections that allow us to better understand the reality around us in almost all areas of life. Analytical processes used to study huge data resources (big data) are often related to economic or market issues, but also have applications in various fields of science. Their aim is to detect regular patterns or correlations between variables. In business, they are used to predict phenomena by applying the detected patterns to new subsets of data.


Data science course

The Data Science and Python course provides a complete overview of Python analysis tools and techniques. Learning Python is central to many roles in data Science. Having knowledge of Python will be the path to a career as a data Scientist. The course introduces you to the Python language, teaches you how to use it to verify data,and how to use the libraries available in it to perform analyzes of this data, and how to use libraries available in it to perform analyzes of this data on large sets of data.



Business Intelligence

We offer, among others:
– statistical analysis of data in science and business,
– mobile and web applications for data science,
– support for clinical trials from study design to interpretation of results,
– bioinformatics analyzes, including genetic data with the interpretation of the results,
– analysis of financial and insurance mathematics models,
– support for research work from the research design to the interpretation of results and responses to reviews,
– analyzes for diploma theses, including doctorates,
– analysis and development of algorithms.

The Profile of the Coach

Doctor of the Jagiellonian University, graduate of the application of mathematics, programmer. He has published in the Philadephia List journals: Journal of Vegetation Science, Springer Proceedings in Statistics, BMC Bioinformatics, Journal of Physics: Condensed Matter, Plos One. Programming trainer, programming and data analysis practitioner: lead consultant for data analysis in two Polish companies.

Contact us

+48 510 638 833