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Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.

Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.

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

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).

IRI (Industrial Robots Insight), is a predictive maintenance and energy control box for industrial robots, that solves all these problems to offer a manufacturer agnostic solution, open, which increases your savings and guarantee your production, without putting your data at risk.

Rise Up Data Pro is LIS-Solutions product for predictive maintenance. Our mission is to use the data robots and machines are creating all the time within industrial facilities to understand them better or even to feel them through data.

The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.