Natural language processing technologies allow for a more efficient technological surveillance performance than standard tools.

Semantic tagging, automatic classification, establishing sets of documents, and developing ontologies based on linguistic engineering, allow to identify and classify relevant company information in a multidimensional and automatic manner.

Automatic detection of innovation and new resources that diverse production areas make available in the market, and new inventions in the R+D area.

Identification of policies that impact important elements of production.

Finding market´s key elements in the competition surveillance.

Access to the hidden Web with an increase of processed information and results.