Search for Innovations

Large-scale document search service that automatically categorizes and relates texts by content, regardless of the language used. Around 500 categories based on the EUROVOC thesaurus have been considered to process texts.

Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.

We researched a novel approach to address fundamental natural language processing (NLP) tasks such as syntactic and semantic analysis. Our approach outperforms all existing methods by a significant margin and represents the new state-of-the-art across various core NLP tasks.

A comprehensive city traffic model based on various diferent data sources. The model can be used e.g to present traffic situation of the street network on a map user interface or to generate traffic incident data to other applications.