Intelligent Semantic Systems

the integration of machine learning approaches such as artificial neural network models with semantic models on the universal formal basis

The Explainable A.I. Company

About the Project

The main goal of the developed project is the creation of a global distributed intelligent system that consists of compatible cooperating intelligent systems connected into the cloud with the Technology core. The Technology core includes actual versions of all components used by interconnected systems. Semantic compatibility of systems allows performing component actualization automatically, so in every moment every system has access to the most stable version of the underlying platform and all required components.

The basic ideas of the project are:

Integration of machine learning approaches such as artificial neural network models with semantic models on the universal formal basis

Information security:

All changes are automatically verified

Private information is stored on the owner's server

No changes can be made without logging

Binary and human-readable dumps by schedule

Each system may share a part of stored information to become a reliable source of information in some subject domain. So complex problem may be solved by using information from several systems

Technology

As a basis for the design of semantically compatible computer systems, we use an Open semantic technology for intelligent systems (OSTIS Technology).
The keystone of this technology is an SC-code – a standard for the semantic representation of information that basically uses the set theory and the graph theory.

The basis of the OSTIS Technology is the SC code – the standard of semantic representation of information in the memory of systems developed by us. The special feature of the SC-code is that it is a language based on the set theory and made up of only 5 elements, using which it is possible to formally represent and process all kinds of information from any subject domain including logical statements, programs and metastructures of any complexity.

SC-code features:

As a result:

Semantic and syntax compatibility of knowledge represented in the SC-code

Used Technologies

Why should you choose us?

The IS Systems allows your company to find meaning in its data and improve the quality of business decisions. On a common platform, IT and business users can work together to create a data-driven organization:

Enterprise security and scalability to meet your standards of reliability, confidentiality and compliance

System workflows help teams to collaborate

Enterprise security and scalability to meet your standards of reliability, confidentiality and compliance

With IS you rely on the solid data and develop new ideas

Plans

The OSTIS ecosystem is an unlimitedly expandable group of constantly developing intelligent systems that:

interact with each other, with users of intelligent systems and traditional computer systems for cooperative solutions of complex problems;

constantly maintain a high level of compatibility and mutual understanding in interaction both among themselves and with users

  • Thomas Grunewald
    CEO
    He had degree from the Faculty of Radiophysics and Computer Technologies and studied Economics and Comparative Law at the University of Mannheim. Over the past 25 years, he has been involved in the foundation and development of numerous companies in Eastern Europe. Member of BAAI (Belarusian public association of specialists in the field of artificial intelligence).
  • Vladimir Golenkov
    Chief Scientific Officer (C.S.O.)
    Doctor of Computer science, Professor. Chairman of the Board of BAAI.
    Founder of the Department of Intelligent Information Technologies and the specialty "Artificial Intelligence" at BSUIR. Member of the HTP expert council. He conducts research in the field of semantic technologies for the design of intelligent systems and knowledge bases. Leading specialist of the Republic of Belarus in the field of semantic technologies.


  • Vladimir Golovko
    Chief Scientific Officer (C.S.O.)
    Doctor of Computer science, Professor. Board member of BAAI. Founder of the specialty "Artificial Intelligence" at BrSTU. He conducts research in the field of artificial neural networks, information security, mobile robots. Leading specialist of the Republic of Belarus in the field of neural network technologies.
  • Natalia Guliakina
    Scientific Officer
    PhD in Physico-mathematical science, Associate Professor. Board member of BAAI. She conducts research in the field of semantic technologies for the design of intelligent learning systems.
  • Daniil Shunkevich
    System Architect
    PhD in Computer science. Member of BAAI. He conducts research in the field of knowledge processing in intelligent systems, design of intelligent problem solvers, multi-agent systems.
  • Mikhail Kovalev
    Lead Software Engineer
    Master of Computer science. Member of BAAI. He conducts research in the field of integration of artificial neural networks and knowledge bases.
    Software engineer with 4+ years of experience in commercial programming.

Our Partners

Contact us
+375 17 236 77 36
info@semantic.by
Minsk, Surhanava street, 48a, 220013