Artificial intelligence (AI) is the ability of machines to imitate human abilities, learning and planning. For AI to work well in localization, it must be trained to correctly generate the required content. Although it may seem that AI can do everything at the moment, the result is often at least debatable. In translation, AI is used to speed up and reduce costs. Universal pre-translation and publishing is not yet possible, as AI cannot identify small nuances and cultural customs.

Specialized translation is translation of professional content that requires emphasis on industry terminology and adherence to precise standard phrases. Such content is often found in legal, technical, medical, scientific texts, and patents.

These are translations with subsequent professional revision by a highly-specialized proofreader, who evaluates not only the stylistic correctness and readability of the text, but also the factual correctness of the translation. At the beginning of the 20th century, all texts were read and corrected by two to three proofreaders before publication. Currently, this practice is being abandoned, but not because the texts are translated correctly for the first time, but because this procedure takes a little longer and is a little more expensive. However, the result is a message tailored to the customer, who receives added commercial value for it.

The profession of translator originated at the time of the first written documents, and his work guaranteed the correct agreement of the terms of concluding peace or the union of royal families. With the increase in trade, migration of nations, technical revolution and mobility of humanity, the accuracy of correct translation remained the basis of communication between countries and continents. With the advent of electronics and computer technology in the 1950s, attempts were already being made to create an artificial assistant for translation between languages.

A major shift occurred in the 1980s with the use of more powerful computers and advanced programming languages. However, these translation engines used literal transfers between languages, so the results of such translation were often rather counterproductive and illogical. Dramatic improvements in artificial translation engines required a much larger amount of data, or patterns for machine learning and so-called deep learning, which could be used to calculate the correct statistical wording of the translation. Although such a powerful computer can take into account the context and conditions specified by the programmer for its calculations, its electricity consumption, is equivalent to about a 20-apartment house.

Translation engines can currently be connected to any website, but the results are still often awkward, especially if you want to use it to present your company or sell a premium product.

Search Engine Optimization (SEO) is a method of modifying (optimizing) websites so that they are more easily found in organic search engine results, such as Google or, Bing and other search engines. The goal of SEO is to get websites to the top of the organic (unpaid) search results for selected keywords that will bring the highest conversion

Each region and language is specific and frequently searched terms in a given field vary significantly. It is necessary to analyze suitable terms/words and strategically choose which ones to use. Stylistically insert the selected terms into the texts of the website and so-called optimize the readability of the page for search engines. In addition, it is recommended to do this twice a month, for each field and language in which you want to communicate with the customer. And since almost everyone offers their products in English, we recommend this content really "localize" into local languages in order to reach the exact target group of your customers.