The connectors and the open interfaces allow for an easy integration of new services, supplied by third parties and not made accessible outside the federation itself.

The main functions of the platform can be grouped into the following services:

• Value chain-oriented, related to product lifecycle (product information management, product co-creation, LCAs-LCCs for eco-design, identification of logistical barriers, legislative support).
• Operational vertical services, sector-specific (demand and supply monitoring, production planning and control, material testing and certifications).

The project involves 35 partners from different European countries, including various companies belonging to 5 different domains related to circular entities, such as: batteries, automotive sector, textiles, industrial polymers, circular hubs for new ideas of Value Chains among European countries.

Extra Red provided the partnership with its industrial expertise in integrating and building core components and developed services. Extra Red’s main role was that of System Integrator for the services, by designing and implementing a hybrid cloud architecture based on microservices.

The interoperability platform is based on the NEWS (National Early Warning Score), the reference standardized clinical protocol, currently approved by Regione Toscana in the DGRT n.10 of 2010 and already in use in Great Britain and USA.
The system is able to monitor the patient after his hospitalization and avoid another, thanks to the remote control of the constant monitoring on the patients themselves.
The system is made of 2 macro-components:

• data collection through devices, curated by AB Medica Spa..
• elaboration of data logics through the middleware platform, curated by Extra Red.

The partners who took part in the project are AB Medica, as the head company, Extra Red and BeeApp, an agency specialized in the development of mobile apps for smartphones, tablets and objects connected to the Internet of Things.

Extra Red created a system for collecting and standardizing the parameters detected by the devices, in order to build an almost real-time monitoring center which could be used in the hospital wards as a point of control. The logging and storage of data allows for the implementation of an advanced medical record, easily usable thanks to a microservice architecture on PaaS. Moreover, Extra Red developed the middleware layer of communication related to all the info handled by the Ubicare system.

Lethe is based on the results of the FINGER study and uses innovative lifestyle prediction models. The main objective of Lethe is the prevention of the entire spectrum of cognitive decline in the elderly at-risk population, ranging from asymptomatic cognitive decline to subjective or light decline, until precocious Alzheimer’s dementia (AD).

Lethe’s main activities were about:

• Developing dementia prediction models and a monitoring and intervention system based on IoT technologies
• Elaborating a shared group of prediction models based on an initial set of clinical data and digital biomarkers, together with a distributed Machine Learning model and data collection
• Introducing a new manner of interaction by using the wearable Smart Glasses technology
• Creating a mobile app for the participants to the experiment
• Implementing a Big Data Framework used for cleaning, collecting (in compliance with GDPR) and elaborating the data, followed by the execution of AI algorithms for predictive modeling of cognitive decline and risk factors development.

The Lethe project counts 15 different partners from all over Europe, including the University of Vienna, the University of Perugia, the Finnish Health Institute and Alzheimer Europe, a non-governmental non-profit organization – as well as a SME in the ICT sector – whose mission is making dementia a priority at European level.

Extra Red provided the partnership with its expertise in System Integration and in the development, building and implementation of hybrid cloud architectures based on microservices. It also provided middleware open source technologies for managing cloud environments and Big Data Analytics. It supported the development of the architecture and deployed the most advanced technologies in terms of Big Data.

The AI/Fire project has three main objectives:

• Creating an integrated platform for wildfire sensing
• Experimenting early warning methodology
• Validating early warning methodology in 3 real use cases, with the collaboration of the municipalities of Bianchi, Aprigliano and Mormanno.

The partners who took part in the project are: Extra Red, as head of the partnership, Tea Engineering and CNR ISAC.

Extra Red was involved with building the software infrastructure for the project and integrating the climatic monitoring sensors, as well as taking care of the predictive analysis of wildfires and the Digital Twin module.

Moreover, in addition to taking part in the co-development of the functional specifications, Extra Red was involved in the AI/Fire platform front-end development, which included a web application and a mobile application.

The purpose of PRIBOS is the definition of a complex system for:

• Predicting the start of wildfires and planning the emergency operations.
• Real-time handling of the emergency situation by evaluating thermal emissions and smoke dispersion, in order to optimize the mitigation interventions while ensuring the safety of the operators.
• Proactively handling the information from and for the population, in order to limitate the risk factor and the human and material losses, thanks to a data integration platform. The information is conveyed between the citizens and the entities responsible for tackling the emergency through a mobile application tasked with the real-time transmission of the details collected during the extinguishment and contrast stages.

The partners who took part in the project are Extra Red Srl, as head of the partnership, and Tea Engineering and STA team as partners.

Extra Red's main activities were:

• Collecting information about the territory through official regional Open Data and identifying 16 layers representing the entire Calabria territory.
• Developing a layer of data capture from valid weather stations, in correlation with the environmental factors related to soil and urban centers in order to build a risk and damage gravity scale.
• Creation of a web application for generating predictive simulations, as well as of a mobile app for real-time communication between the citizens and the entities responsible for tackling the emergency.