Digital Worker

Natural Language Processing (NLP)

Robotic Process Automation

In real life data is not always organized or neatly classified within IT systems. Most of the data in the world is unstructured and stored in free text documents, videos, e-mails, PowerPoint presentations, etc. In order to access the information we need Natural Language Processing (NLP) with Digital Workers that can analyze, understand, classify and process any document or e-mail will help to access the information you need. Text written in any of the most widely used languages can be processed with NLP.

Language models for different natural languages

Our Digital Workers utilize the latest algorithms and innovations in NLP. They can easily read text and understand the content, classify it, summarize it or translate it. By combining these skills they can search information, consolidate it into a readable format for humans or initiate rule-based RPA for information extracted from any text.


NLP enables a wide variety of applications for text and document analysis

Digital Workers can handle many widely used languages in their native form instead of translating them into English. This enables a wide variety of applications for text and document analysis. Often a large part of the data in an IT system is stored in free text, such as patient medical reports, incident descriptions, or invoice line items. This data can be easily analyzed and understood in the native language of the content creator. Customer service emails can be analyzed with NLP easily in this fashion.

NLP solutions operate on word, sentence, and document levels simultaneously. They can help their human colleagues by creating grammatical text or checking and eliminating spelling mistakes. Content created can be coherent, logical and easy to understand original documents, summaries of existing documents, as well as developed into templates. Today it is almost impossible to tell whether a text is written by an NLP solution or a human writer. NLP can also easily read, analyze, and summarise thousands of documents simultaneously.