Intelligent Personal Assistants And Software Platform For Online Information Processing


Infocomm - Security & Privacy
Infocomm - Networks & Communications
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The technology makes it possible to build intelligent personal assistants for online information processing.

The intelligent personal assistants can search, extract, structure and monitor the information in online networks and media.

The technology also allows to detect target patterns in electronic communication networks providing an increase in the efficiency and in the comfort level of the end users and corporate employees.


The technology comprises a core of neuro-symbolic (associative-logical) artificial intelligence, which can be embedded in any computing platforms, operating systems and communication environments e.g., social networks, instant messengers, news aggregators and blockchains.

The novelty of the technology is rooted in an open source software (OSS) platform for the development of personal artificial intelligence systems within the framework of the multi-agent approach and the principle of distributed information processing including the following subsystems functionalities:

  • Controlled semantic language based on natural language, employed for inter-agent communication;
  • Semantic web crawler based on an adaptive reinforcement learning intended to collect information from web pages, RSS feeds, social networks and blockchains;
  • Collection and unification of heterogeneous communication information from social networks, RSS news feeds, forums and instant messengers;
  • Extraction of semantic information and sentiment from heterogeneous text data;
  • Analyzing social and connectivity graphs in order to identify social structures and psychosocial profiling of users and members of online communities;
  • Multiphase semantic search and monitoring of information in social information networks and web resources;
  • Rating subjects, services, products and services in social and information networks based on the "liquid rank reputation" algorithm;
  • Building chat bots based on templates and semantic knowledge graphs, multiphase semantic search and controlled language.

The advantages of the technology consist of significant increase in the efficiency and safety of production processes and customer service, in improvement of quality of acquired information and of decisions made. New profit-making channels can be developed with the use of the technology.


Building technology platforms or systems for:

  • Monitoring of online information for business and professionals;
  • Maintaining collective and individual psychosocial security for enterprises and communities;
  • Creating, distributing, verifying, updating and monetizing content;
  • Crowdsourcing collective intelligence platforms for decision making in enterprises and communities;
  • Construction of interactive highly personalized question-answering systems, search engines and subsystems.

Market Trends & Opportunities

The technology implements many applications indicated by Gartner Hype Cycle for Digital Workplace such as Virtual Assistant, Smart Workplace, Knowledge Graphs, Digital Experience, Content Integration and Collaborative Work.

It is an open source technology, available as an open source software platform API/library/SDK under MIT license, offered and maintained by the university and suitable for different forms of collaboration:

  • Commercial version is available for technology partnership and commercialization opportunities in industry e.g. Marketing or Cybersecurity consulting firms who could adopt such technology and integrate/co-develop with tech owner as an expanded service offering;
  • Academic version is available for scientific research and educational purposes e.g., Researchers/PhDs looking into subjects related to encryption, information networks mining and analysis.


Integration of heterogeneous streams of information in various environments by the personal intelligent agents endowing them with Artificial Intelligence makes it possible to develop a new generation of content analysis, monitoring services and decentralized social networks that creates and develops the collective intelligence of communities.

The technology's indirect competitors are, on the one hand, news aggregation projects, public search engines, and modern social networks - all being currently monetized through advertising and implicit rejection of copyright content from the users.

While the users of such existing solutions are subjects of information overload, manipulation and disinformation, the company offers to change this with proposed intelligent technology which makes user experience configurable, adaptable, controllable, and highly personalized, preserving the privacy and ensuring the security.

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