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SLIPO is the first comprehensive cloud-based platform for the quality-assured and scalable integration of Big POI data assets. SLIPO reduces the effort, time, and complexity of POI data integration, providing POIs of increased size, coverage, richness and timeliness at a fraction of the cost.

BigDataOcean brings a digital revolution the maritime industry by creating a large maritime big data infrastructure that enables collaborative, data-driven intelligence.

The QROWD Analytics Optimisation Toolbox (AOT) comprises five tools aimed at improving the performance -efficiency and accuracy- of the analytics required to deliver the QROWD mobility services:

QROWDSmith is a standalone crowdsourcing platform designed to engage with crowdsourcing volunteers or workers, or citizens to run crowdsourcing activities aimed in data creation and curation for applications developed for mobility purposes.

The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.

Traffic and Travel Information services have had an explosive growth in recent years, but still considerable progress is to be made, building on top of the 500+ million GPS devices found in all sectors of the economy and society.

This crowdsourcing-enabled big data integration and analytics services platform allows the efficient management of the entire mobility/transport/logistics related data value chains: integration of existing (heterogeneous) data sources affecting mobility; Generation of new data; Curation and meani

A center for experimentation in Big Data, Artificial Intelligence and High Performance Computing that will allow companies to have a testing enviornment for their advanced data analysis applications prior to the launch of a product to the market. The objective of this experimentation center

The objective of the Digital Twin for the Industry 4.0 product is the virtual representation of real devices and processes, which is linked to its physical counterparts not only through mechanic and geometric parameters, but also by their behaviour.

Radiatus platform main goal is to provide to the end-user a BDAaaS (Big Data Analytics as a Service) solution in the Cloud. This platform aims to allow the end-user to focus on the data analysis processing, and provides the necessary level of abstraction about the details of configuration, services, adaptability and deployment, making it transparent the selection of the IaaS (Infrastructure as a Service).