• Platform / Framework
  • Yury Glikman

AEGIS Data Management and Analytics Platform

The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.

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  • Component / Service / App
  • Instituto Tecnológico de Informática (ITI)

Digital Twin for Industry 4.0

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.

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  • Platform / Framework
  • Instituto Tecnológico de Informática (ITI)

Radiatus (Big Data Analytics as a Service)

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).

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  • Component / Service / App
  • jerome berlioz

Minotour

When traveling, we often wonder: What can I do tomorrow? Where can I go?

Our solution: Minotour

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  • Component / Service / App
  • Instituto Tecnológico de Informática

Port and Terminal Productivity Cockpit

The Port & Terminal productivity cockpit is a web-based tool for supporting a common set of shared and specific metrics to evaluate the logistic process of a port terminal.

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  • Component / Service / App
  • Zylk.net S.L.

IRI Industrial Robots Insight

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.

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  • Component / Service / App
  • AMIGO srl

SOON

SOON, the Station Observation Outlier fiNder, is an application that identifies errors in large data flows that need real-time filtering and cleaning. Through an easy-to-use interface, SOON provides real-time alerts on detected anomalies, and further statistics on historical data.

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