WOSM (World Open Source Monitoring) is a unique data capture, selection, processing, analysis and management system designed to allow more effective big data monitoring in complex organisations, in respect to structured and unstructured sources, whether internal (call centres, files, data banks) or external (TV, press, radio, websites, social networks). 
WOSM allows large companies and organisations to use a single monitoring tool that encompasses the organisations various functions and which is capable of furnishing a comprehensive view of the enterprise’s outward impact, by the mean of the Natural Interface, a smart interaction environment, simple and intuitive.
WOSM is business intelligence: analysis of the data collected from public sources makes it possible to draw up in-depth pictures of a market and offer consultation and strategic support relevant to business start-up, restructuring and defining a business or organisation’s product or service offering.



WOSM is a knowledge management system unlike any other in the world. It is able to integrate results from all public sources into a single report.  It allows large companies and organisations to conduct unified monitoring of information from all freely accessible public sources: communication systems, public data, direct observation, publications, sources within the organisation, and so on.
WOSM provides meaningful, cross-discipline data readings with real practical use, especially in marketing.  Put simply: it extracts value from big data.
In addition, WOSM allows you to quantify and read the new complexity of the Web 2.0, which is characterised by rapid dynamics that are difficult to assess: interactions between different subjects, proliferation of content, metamorphosis, and contamination and migration between different media types.
To summarise, WOSM enjoys these advantages over other media monitoring systems:
  • a unified analysis and monitoring system for all media
  • an integrative approach to different media
  • advanced semantic analysis
  • intelligence applied to data analysis
  • Artificial Intelligence algorithm: over time, the system actually learns.