Products and services

Large-scale analysis, classification and information extraction from textual data using natural language processing technology.

  • Solution areas
  • NLP - Text Analytics

We will guide you to the most productive implementation of NLP (Natural Language Processing).

You will gain insight into text data quickly and easily using AI-powered services and ready-to-use applications.

The potential application of natural language processing is very broad and can be helpful in many industries.

What is NLP technology

Natural language processing is an artificial intelligence (AI) technology that enables a machine to recognize and decode the nuances of human language. It processes unstructured data, analyzing it in terms of accuracy, spelling differences or semantic meaning. It tries to understand grammatical syntaxes and relationships between words and phrases just like a human does.

NLP is the component of text analysis

Text analysis uses natural language processing (NLP)
to transform unstructured text in documents and databases to obtain insights and patterns.
It enables organizations to use the enormous amount of information at their disposal to make key decisions.

Get detailed information with NLP technology.

From information extraction to sentiment analysis. We will help you discover new insights contained in the text, driving your NLP algorithms and machine learning models.

Services and solutions based on natural language processing

We provide natural language processing services enabling text analysis used for mood analysis, information extraction, intention recognition and content categorization.
We offer solutions based on artificial intelligence using the best NLP techniques and tools.

What makes us stand out?

Knowledge and many years of practical experience (16 years on the market).

Deep understanding of data monetization models and techniques.

A team of experienced specialists in the field of widely understood AI and ML.

Close cooperation with the academic community. Contribution to the development of science and knowledge.

Use of proprietary software components

Use of modern analytical tools and advanced logic.

Text analysis

If your goal is to analyze large amounts of text data, including consumer opinions, improve the quality of user experience or increase their level of engagement, this solution will be perfect for you. Choose from our various NLP products to suit your specific needs.

Abstracts generating

Automatic generation of a text fragment to a shorter version, while maintaining key information elements and meaning of the content.

Objects detections

Determining the content of digital images and its classification e.g. whether it shows a human, a car or something else, but also the detection of various classes of objects in one image.

Keyword extraction

Automatic extraction of the most important words and phrases from the text. It plays a vital role in locating and categorizing an article in terms of information retrieval systems.


Character recognition in pdf documents or images. It helps you manage large volumes of documents more efficiently without the need for human intervention.

Synonym search

Search for synonyms of a word by considering its meaning and context. Finding similarities between sentences, searching for similar documents.

Named entities

Detect and classify named entities in unstructured text into predefined categories such as people names, organizations, locations, etc.

Processing tables

Extract information that is distributed in tables that are part of forms, preserving context, order and content within single table cells.

Similar documents

Based on the retrieved keywords, named concepts and language taxonomy, the system finds documents with similar content and contextual content.

Case Study

  • Facts: A client from the debt collection industry uses extensive archives of electronic documents, multi-page, available in various text formats on a daily basis.

    Problem: Extracting and properly analyzing huge amounts of unstructured information to enable effective redress, in accordance with the law and internal procedures.

    Solution: The mechanisms for recognizing and processing text from extensive debt collection documentation implemented in DoRIS allow for quick and error-free processing of large amounts of documentation in an automated manner, and searching large archives becomes much easier and faster, which significantly affects the efficiency of the debt recovery process.

    NLP for debt collection
  • Problem: Ministry of Development - constantly growing amount of information and text documents, which are more and more difficult to manage.

    Solution: A system was implemented that allowed for the efficient cataloging of documents, the creation of a mechanism for intelligent information retrieval according to the context and content, and the sharing of the accumulated knowledge within the entire organization. As a result, the process of preparing materials based on current knowledge was improved.

    NLP technology  for the efficient cataloging of documents
  • Problem: A large energy operator is struggling with an ever-increasing number of complaints on a daily basis. Due to regulatory requirements, timely handling of complaints becomes crucial from the point of view of costs generated by the high commitment of operational staff, as well as the need to pay compensation to customers whose complaints have not been resolved in a timely manner.

    Solution: The DoRIS system, based on natural language analysis (NLP), processes an unstructured stream of information in the form of documents, scans, e-mails, data from web forms, etc. It handles a number of cases and inquiries in an automated manner, which accelerates the complaint process.

    Result: Efficient, fast and automated complaint handling allows not only to meet the complaint deadlines, but above all to provide customers with due attention and to deal with their case reliably and in accordance with expectations, which significantly reduces compensation costs.

  • Facts: The client from the development industry has an extensive, scattered repository of technical documentation, documentation regarding administrative decisions, contracts with subcontractors and contractors, expert opinions, etc. Most of the documentation are word, pdf, xls reports, scans and graphic files.

    Problem: Quick and error-free checking of the completeness of the technical documentation of the project / investment becomes a big challenge. Manual completeness verification is tedious and burdensome, due to the length and variety of documents (several hundred pages!) And their multiple use in various projects.

    Solution: Using NLP methods, the DoRIS system was tested on selected corpora of documents included in the technical design, which allowed to extract key information (decision numbers, validity dates, document categories) and to classify documents and verify the completeness of the entire documentation package.

  • Facts: One of the largest banks receives, on average, about 1,000 letters from supervisory institutions a month, requesting information about their clients.

    Problem: The manual process is costly because it is performed by qualified lawyers. It is also time-consuming as it takes up to 72 hours to process each document and retrieve information. Finally, it is fallible because it depends on many people getting the information right.

    Solution: DoRIS has been trained on all possible query patterns and is able to accurately recognize the context of the query.

    Result: The process automation accuracy levels are 98% and the platform has learned from 2% corner cases for future use. The time of document circulation was shortened from three days to just a few minutes, increasing the quality of the information prepared.

Why does NLP help in business?

Natural language processing (NLP) is a technology that allows computers to "understand" human language and act as requested to act. Voice assistance (speech recognition) and chatbots these are the most popular uses of NLP, but that's not all. This technology offers companies many benefits in many ways - from call analysis and customer service to system review, orders and cost cutting.

The element "processing" means that the textual information can be understood in its context and the intention can be distinguished from unstructured data. It is a powerful cognitive ability that supports many business processes. Let us guide you to the most productive NLP implementation considering your area of operation.

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