The issue of the structuration of textual data is very paramount in today’s technological reality. Textual data is a part of our daily life, we emit it, text it, tweet it, and receive it in huge bulks regularly, making the realm of data largely dependent on textual content that is highly unstructured by nature and unexploitable. In a world where Machine Learning, Big Data, and smart assistants are becoming the trend, companies are relying on these concepts to flourish their businesses. Therefore, the need for a platform permitting textual analytics techniques for all, becomes essential. This is where Wisely comes in handy. In a nutshell, Wisely provides two of the most used branches of Natural Language Processing: Named Entity Recognition and Natural Language Understanding. Using our platform, a non-technical user can import their own dataset, do the wanted treatments and export the results for future usages. This report has the intention of helping you get a better understanding of how Wisely works by giving you its implementation details from all the aspects.