Machine learning technology to organize knowledge management

When facing a new project, one of the main barriers is the search and access to information related to that project between the people involved in it. Guillermo Garcia and Yann Echeverria detected it as a common problem among businesses. “The goal of Elqano is to facilitate and promote the flow of information in companies. The reality is that today, although there a multitude of data management systems, such as Dropbox or SharePoint, workers either tend not to use them or they don’t simply have the time to update them correctly. They only use them to send files that are too large to be attached in an email. Knowledge management within large companies is often chaotic”, says Garcia.

Elqano helps organizations that have problems in managing and accessing strategic documentation of its different departments. “Elqano creates summaries and labels that are relevant to workers automatically and implements them into existing user systems (email, private documents, SharePoint and other Data Management System) without any effort from the users by using the latest techniques and algorithms present in the field of machine learning to analyze each document and create those filters and those relevant tags “. Elqano social headquarters is in Geneva (Switzerland) since “our potential customers are based in Paris and London”.

Caption: / Elqano / Guillermo Garcia, one of the creators of this software, which helps organize documents databases.

Lead: This software helps to better organize documents’ databases.

By Javier Escudero