Portfolio – Phoenix

Accessibilità Digitale – Città Metropolitana di Reggio Calabria

Admin Phoenix — Wed, 25 Jun 2025 09:54:26 +0000

The Goal

The aim of the intervention is to design and deliver training activities on digital accessibility issues aimed at employees of the Metropolitan City of Reggio Calabria and the staff of the Municipalities in the area. All of this is part of the PNRR 1.4.2 investment “Citizen Inclusion – improving the accessibility of digital public services”.

The project

The project was divided into two interventions. The first intervention involved the development and supply of a fully customized e-learning platform, designed to meet the standards of Italian Public Administrations through the adoption of the “Bootstrap Italia” framework. The platform, based on open-source technologies, was configured to host multimedia educational content. In addition to the technical infrastructure, the intervention included the design of the architecture, the implementation of the front-end, the installation in the customer’s environment (both on-premise and in the cloud) and the integration of training video modules. Training activities were also carried out for system administrators and tutors, to ensure their autonomy in using the platform, accompanied by the production of technical documentation and a user manual. The intervention concluded with the delivery of a complete, tested and compliant operating environment with the required standards, accompanied by a support and maintenance plan.

The second intervention involved the creation of an internal customer survey aimed at collecting data and perceptions on digital accessibility issues among administration employees and municipal personnel in the territory. In collaboration with the client, a 20-question questionnaire was co-designed and administered to a sample of 500 participants through a GDPR-compliant platform. The data acquired was subsequently analyzed according to both quantitative and qualitative criteria, and the results were summarized in a final report accompanied by graphs, insights and operational recommendations to support the administration's future decisions.

Piattaforma Formazione Wise

Admin Phoenix — Wed, 25 Jun 2025 09:44:40 +0000

The context

WiseGate is a consulting firm that guides organizations towards an evolutionary, regenerative, and transformative path, focusing its interventions on Innovation, Sustainability, and the Valorization and Development of human potential.

The project

For the WiseEdu unit, Phoenix has made the GOKEO platform available to support the training activities of Managers belonging to the Italian Association of Utility Managers. The platform, provided in Platform as a Service (PaaS) mode, offers a flexible and scalable learning environment that combines traditional training content with innovative modules developed using Generative AI (Gen AI) technologies.

In addition to providing the platform, Phoenix played an active role in designing and defining the training program syllabus, focusing in particular on the content structure and the course format. This intervention ensured a training program consistent with the professional development needs of utility sector managers, ensuring quality, customization, and adherence to the association's standards.

HPX – Heritage, Play, Experience

Admin Phoenix — Wed, 25 Jun 2025 08:50:57 +0000

The need
The project was born from the need to make the historical-cultural heritage more accessible, engaging and inclusive, overcoming the physical, cognitive and linguistic barriers that often limit museum use. In a context in which visitors' interest in interactive and personalized experiences is growing, there is a need to integrate immersive technologies and playful-educational approaches to transform the visit into an opportunity for active and memorable learning. It also intends to enhance the cultural heritage through sustainable digital tools that guarantee its preservation and dissemination even at a distance.
The project
HPX involves the creation of an innovative Augmented Reality experience dedicated to the museum sector. Using a mobile app, visitors are accompanied by a virtual subject who guides them in an interactive serious game made up of puzzles, missions and 3D reconstructions. Marker-less AR technology allows you to recognize the works and environments without the use of physical markers, allowing you to interact with the contents simply by framing them. A natural language AI virtual assistant provides personalized information, while accessibility tools such as colorblind filters and supports for the visually impaired make the experience inclusive. Gamification rewards visitors with points, digital badges and exclusive content, culminating in a personalized and shareable final report. The approach integrates storytelling, immersion and interactivity to promote a replicable model of cultural valorization based on emerging technologies.
Project funded by the PNRR – Mission 4, Component 2, Investment 1.5 “Creation and strengthening of Innovation Ecosystems, building territorial R&D leaders” – Research and Innovation Program Sicilian Micronanotech Research and Innovation Center SAMOTHRACE, Spoke 1 – University of Catania.

ARCH-KNOWS

Admin Phoenix — Wed, 25 Jun 2025 08:28:31 +0000

The need
The need is to equip monumental, archaeological and museum sites with advanced digital tools for sustainable conservation, scientific cataloguing and participatory valorisation of cultural heritage, overcoming the limitations imposed by environmental factors, degradation, information deficiencies and physical accessibility barriers.
The project
ARCH-KNOWS is an initiative aimed at creating an innovative system for the digitization and use of historical-cultural heritage. Through the integration of 3D surveys, archaeometric analysis and predictive simulations of degradation, the project creates detailed digital twins of the artifacts, enriched with multidisciplinary data. The heart of the system is a web-based platform and an interactive repository, designed to share knowledge, involve citizens and scholars, and support management and restoration. Technologies such as AR/VR and immersive storytelling make the experience accessible to people with disabilities and a wide audience, contributing to the digitization, sustainability and inclusiveness of culture.
The project is carried out in partnership with the company Istemi srl, leader of the partnership. Phoenix plays a key role in the development of the digital infrastructure, making its technological skills available for the design, implementation and maintenance of a centralized database. This system has the task of efficiently collecting, organizing and managing all the data acquired during the survey and chemical-physical analysis activities on the artifacts being studied. Thanks to its experience in software development, Phoenix takes care of the integration of the various digital components, ensuring continuity, security and accessibility to the data. The user interfaces are designed to be intuitive and usable even by non-expert users, promoting broad and transversal involvement.

Project funded by the PNRR – Mission 4, Component 2, Investment 1.3 “Partnerships Extended to Universities, Research Centers, Companies for the financing of basic research projects” – Research and Innovation Program “CHANGES – CREATIVITY AND INTANGIBLE CULTURAL HERITAGE”, Spoke 6 – University of Catania.

Cyberontology

Admin Phoenix — Thu, 12 Jun 2025 13:03:53 +0000

The need
The Cyberontology project developed by Phoenix was born in response to companies that want a product that helps them limit and deal with increasingly frequent cyber attacks.
We decided to create a single ontological vocabulary containing all the keywords present in the various areas of digital security, in order to form a foundation on which to build increasingly effective and immediate security systems.
The project
The project aims to build a computer vocabulary and make it available through software capable of intelligently retrieving security information. The idea is to increasingly delegate the management of protection measures to Artificial Intelligence, leveraging the most up-to-date semantic web techniques to reduce—or even eliminate—potential vulnerabilities.
Using semantics, which analyzes the meaning of words and their relationships, allows you to find the right documents much more precisely than traditional search methods, reducing ambiguity and misinterpretations.
This approach represents an innovation both methodologically and operationally compared to the systems adopted to date. The platform will be developed in OWL (Web Ontology Language) and will describe the key concepts of assets, threats, vulnerability, countermeasures, security goals, and defense strategy. The model, which connects assets, threats, and countermeasures, will follow the guidelines of the ISO/IEC 27001 standard.
The project is consistent with the supply chains identified in the Smart Specialization Strategy as it is relevant to the digital creative industries and specifically to the KIA 62 Programming, IT consultancy sector. Business sectors compatible with the public notice: g = video games and software - in this specific case software.

Funded by – Regional Law 13/13 art 7 – Public Notice “Creativity Fund for the support and development of businesses in the cultural and creative activities sector – 2019 financial year

dAIbetes

Admin Phoenix — Wed, 21 May 2025 09:43:39 +0000

The need
Type 1 diabetes is a complex chronic disease that requires rigorous daily management. Despite advances in therapies and monitoring devices (such as continuous glucose sensors), many patients struggle to maintain optimal glycemic control over the long term. This difficulty in management exposes them to a high risk of serious complications – such as cardiovascular, renal, neuropathies and retinopathies – which compromise quality of life and increase costs and burdens on the healthcare system. In addition, each diabetic patient has unique characteristics: genetic factors, lifestyle and responses to therapies can vary significantly from person to person.
As a result, personalizing the treatment pathway and predicting the progression of the disease for each individual have become top priorities. Physicians today have access to an increasing amount of data – from daily blood glucose measurements to historical clinical data and lifestyle information – but transforming this data into targeted clinical decisions is still an open challenge. This is why there is a need for advanced tools that support specialists and patients in deeply understanding the disease and planning tailored interventions.
The complexity of these needs requires innovative solutions. dAIbetes was born with the aim of addressing these challenges, improving the understanding of the disease and paving the way for a more personalized and proactive diabetes management.

The Project
dAIbetes aims to improve the understanding and management of diabetes through the integration of advanced modeling and interpretable artificial intelligence techniques. The main objective is to identify subgroups of diabetic patients, assess their clinical outcomes and analyze risk factors associated with complications. Through sophisticated data analysis techniques – such as clustering and time series analysis – the project intends to identify hidden patterns in clinical information, in order to personalize treatments and predict the course of the disease for each patient. A crucial element is the development of advanced predictive models that integrate a wide range of data (clinical, genomic, environmental): these models promise to provide more accurate predictions on the progression of diabetes and the onset of complications, allowing timely and tailored preventive interventions. Furthermore, dAIbetes includes the development of a Digital Twin that reproduces in a detailed and dynamic way the physiological, metabolic and genetic characteristics of the diabetic patient. This tool allows you to simulate the effects of different treatments in advance and identify new parameters that can be used to further stratify patients into homogeneous groups.
To concretely meet the key needs in modern diabetes management, the project is based on four highly integrated technological and methodological pillars:
Data Integration and Quality
dAIbetes collects and harmonizes heterogeneous clinical sources (electronic records, wearable sensors, specialist reports) through data cleansing pipelines, semantic annotation and outlier control. The result is a coherent, complete and fully GDPR compliant information heritage. On this basis, advanced clustering algorithms are applied that identify homogeneous subgroups of patients and reveal hidden temporal patterns, an essential element for precision medicine.
Multi-scale modeling
A combination of deep neural networks and agent-based models reproduces biological dynamics at both the microscopic (cellular and metabolic processes) and macroscopic (clinical trends over time) levels. The result is a Digital Twin of the diabetic patient, capable of simulating with high accuracy the progression of the disease and the response to different therapeutic regimens, providing clinicians with a virtual test bed for targeted therapeutic choices.
Secure and scalable infrastructure
The cloud-native architecture is designed for maximum interoperability and protection of sensitive data. Continuous delivery mechanisms and automatic monitoring ensure stable performance, the ability to scale quickly and immediate rollbacks in the event of anomalies, thus ensuring reliability at every stage of the application lifecycle.
Clinical validation and continuous optimization
The model is evaluated with diabetes specialists using rigorous accuracy, sensitivity, and precision metrics. Clinical feedback fuels iterative improvement cycles that continually refine predictions and keep the Digital Twin aligned with the best scientific evidence.
Thanks to this integrated architecture, dAIbetes transforms data into operational knowledge, supporting timely and personalized decisions to improve glycemic control and prevent complications.
The project is carried out in close synergy with a network of excellent partners, with Phoenix in the role of leader.

Project implemented within the framework of the complementary Fund to the National Recovery and Resilience Plan (PNC), program “Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care” (D3 4 Health), Spoke 2, University of Salerno.

RehabSphere

Admin Phoenix — Wed, 14 May 2025 16:26:32 +0000

The need
The RehabSphere project was born from the observation that the current rehabilitation model has structural limitations: it requires the physical presence of the patient in specialized centers, with onerous costs, times and logistics and clinical outcomes that are not always uniform because they depend on resources and skills available on site. This approach particularly penalizes the elderly, people with reduced mobility or those who live far from health centers, fueling inequalities in access to care and leaving without an answer a large segment of the population that would need rehabilitation treatments - in Italy about 27 million people, compared to an insufficient supply of professionals and facilities.
The primary need, therefore, is to have a system that makes rehabilitation more accessible, continuous and standardized, reducing costs and geographical barriers and at the same time guaranteeing immediate feedback and quality comparable (or superior) to traditional therapy. RehabSphere responds to this need by proposing a virtual reality environment with an intelligent agent that allows remote sessions, real-time control of movements and customization of protocols, so as to break down logistical constraints, increase patient engagement and optimize the use of healthcare resources.
The project
RehabSphere revolutionizes rehabilitation by transforming it into an immersive, personalized and usable experience anywhere.
Inside a photorealistic virtual environment, the physiotherapist records the exercises that the patient reproduces in real time, with the possibility of choosing between 1-to-1 multiplayer or assisted mode. An intelligent agent, powered by AI / machine-learning algorithms, compares each gesture of the patient with the “gold standard” movement of the professional, calculates the motor distance and instantly provides vocal or visual corrections. The same agent acts as a smart assistant in natural language, ready to answer questions about pathologies and training protocols.
To ensure therapeutic continuity even in rural areas or for people with reduced mobility, the platform offers encrypted telerehabilitation sessions that reduce travel costs, CO₂ emissions and quality differences between health centers. The architecture integrates:
Computer-vision marker-less for millimetric joint tracking;
a fully GDPR compliant clinical data layer;
a gamification system that maintains high engagement and adherence to care.
By combining immersive VR, artificial intelligence and secure cloud services, RehabSphere aims to:
Enhance the effectiveness of treatments, with motion recognition algorithms that are over 90% accurate;
Put the patient at the center, adapting each session to his motor profile and individual progress;
Extend accessibility in areas with a lack of health services, reducing logistical and economic barriers.
Project funded by the PNRR – Mission 4, Component 2, Investment 1.5 “Innovation Ecosystems”, I-NEST Ecosystem – Spoke 2 (Health, Food & Lifestyles) – University of Trento.

SMART-LoRa

Admin Phoenix — Tue, 13 May 2025 16:18:31 +0000

The need
In many rural areas, in isolated industrial sites or in factories with metal structures that shield signals, the lack of reliable connectivity prevents sensors, machinery and monitoring systems from exchanging data in real time. Without a widespread network—and with the prohibitive costs of fiber or dedicated cellular coverage—crucial functions such as predictive maintenance, precision irrigation and environmental control remain inaccessible. The need is therefore to bridge this “digital divide” of the last mile: very long-range, very low-consumption and low-cost communications are needed, capable of connecting heterogeneous devices even in the absence of traditional infrastructures.
The project
The SMART-LoRa — Scalable Multi-hop Advanced Radio Technologies with LoRa project was born to answer the challenge of last mile connectivity, offering a multi-hop LoRa network interoperable with other LPWAN technologies, equipped with edge computing and GNSS-free localization, thus finally enabling advanced IoT applications in difficult rural and industrial contexts.
The project integrates in a single open-source hardware and software platform:
a multi-hop Device-to-Device LoRa network that extends radio range, reduces latency and maintains ultra-low power consumption;
an interoperability middleware capable of orchestrating multiple LPWAN technologies (LoRa, Sigfox, NB-IoT), so that heterogeneous sensors can communicate without barriers;
non-GNSS localization (RSSI, TDOA) to track assets and machinery even where GPS does not reach;
Docker-based virtualization and edge computing that bring processing closer to the fields and production lines, ensuring real-time analytics and network resilience.
Thanks to these technological blocks, SMART-LoRa enables:
Precision Smart Farming — distributed sensors monitor soil, micro-climate and irrigation, with data sent in a multi-hop chain to the nearest gateway;
Industrial IoT — Plants and machines communicate with each other for predictive maintenance, even in shielded warehouses or remote areas.
The result will be a scalable, sustainable and low-cost solution, ready to support the digital transition and the competitiveness of SMEs and agricultural companies, reducing energy consumption and environmental impact.
Project funded by the PNRR – Mission 4 “Education and Research”, Component 2, Investment 1.5 “Innovation Ecosystems” – Tech4You Ecosystem, Spoke 6 – University of Calabria.