About Slamby
Slamby provides language independent document classification solutions with the highest accuracy on a dedicated server that allows companies easily classify and manage their documents.

Slamby was founded in 2011.
Slamby released its first machine learning solution for the e-commerce market in 2014, called Slamby Classifier - the first truly language independent classification engine with high accuracy level.
Slamby became a significant global data processing solution provider, serving clients over 9 countries in 2015.
The ownership structure of Slamby-Semantics Information Technology Limited Company, has changed since 1st February, 2018.
70% of the ownership of Slamby Kft. has been purchased in several stages by Negentropics Artificial Intelligence Kft. The remaining 30% stake is still owned by one of the founders.

Product
Slamby text classification application
The text classification application allows you to automatically categorize new incoming unknown texts according to a pre-designed and trained classification structure.


For the proper functioning of the system, the classification structure must be developed as the first step. The classification can be multi-level, subordinate and superior in any number of classes, or categories may be defined as a completely flat structure and of the same level. After the class structure has been established, for each category a teaching database has to be composed of known content documents of the given class.


During the teaching process, the system processes and analyzes the characteristics of documents in each class, creates index files for these operations and saves them in their databases. After teaching, the documents or texts used are not stored in their original format. Only indexes produced in the text analysis, which cannot be retrieved in any way, are stored (therefore, they do not fall under the scope of GDPR).


After teaching, the system is able to decide on a new, completely unknown text which category of the class structure it will belong to, based on its content.
Areas of Application:


Categorization of documents
(e.g. classification of CVs)


E-mail management with automatic classification


Classification of ads
FAQ
Frequently asked questions