enhances European defence operations through a modular language platform powered by advanced Human Language Technologies, improving communication, intelligence, and collaboration in multinational missions.

modernises Main Battle Tanks with modular, AI-enabled architectures that enhance agility, interoperability, and crew efficiency, supporting a sustainable roadmap for next-generation European MBTs.

develops an integrated cyber situational awareness platform for EU defence, combining data insights, collaborative intrusion detection, and secure information sharing. Using realistic cyber range testing, it supports decision-making and training across multinational operations.

develops a rapidly deployable and secure Special Operations Forces Command Post, integrating autonomous power, resilient communications, multi-domain C2, and tactical capabilities to support European joint SOF missions.

develops a comprehensive Cyber and Information Warfare toolbox for EU defence, integrating the full data lifecycle, interoperability frameworks, and a shared component store. Leveraging AI and EU-owned technologies, it ensures standards-compliant CIW capabilities.

develops an AI-driven framework for automated cyber threat detection, analysis, and response, tested in realistic operational scenarios to enhance risk-aware defence capabilities.

is focused on developing advanced capabilities, backed by significant EU funding and involving multiple partners to enhance defence technologies and systems.

explores how 5G can enhance defence communications, developing a robust, resilient multi-dimensional system for strategic, operational, and tactical use. The project prototypes and tests 5G capabilities on defence platforms while strengthening the European industry.

demonstrates the benefits of AI in defence by enhancing situational awareness, decision-making, and mission optimization across air, sea, and land domains. Its European AI LabStore enables member states to access, integrate, and scale AI tools and analytics.

will deliver an online status awareness and decision support system to enhance the operational capability of the Cyprus National Guard, enabling faster, more effective battlefield simulations and critical decision-making.

develops resilient AI algorithms for edge systems, ensuring security, integrity, and real-time decision-making in high-stakes applications like drones and autonomous vehicles. Through a standardized approach, it aims to foster trust and safe adoption of AI-driven technologies.

develops a programmable security plane for 6G networks that enables proactive, multi-domain protection of data, services, and infrastructure against emerging threats. It delivers a compliant and reliable framework for secure 6G service provisioning.

leverages Europe’s 6G research platforms to transform sustainable industry use cases into advanced 6G applications, combining vertical, network, and AI-driven components.

builds a federated European cyber range network for realistic training, exercises, and performance analysis, enhancing multi-domain collaboration and cyber defence skills.

develops a user-centric trustworthiness framework for 6G, ensuring safety, security, privacy, and reliability across distributed edge-cloud networks. Using AI/ML to optimize trust levels, it validates the framework through immersive Metaverse pilots, covering the full 6G service.

develops trustworthy and energy-efficient AI by combining automated data curation, Green AI models, and explainable, reliable processes. Its AI orchestrator optimizes development and deployment, and the framework will be validated through real-world demonstrators.

develops a holistic fire management ecosystem combining prevention, detection, and post-fire restoration. It integrates AI-powered risk assessment, drones, IoT sensors, and fire-resilient building materials.

leverages real-world data from EHRs, wearables, and registries to study chronic conditions in breast cancer patients, combining explainable causal models and deep learning.

develops a platform-agnostic, virtualized meta operating system for the IoT edge-to-cloud continuum, enabling flexible, intelligent, and secure deployment of distributed applications. It supports AI/ML, data analytics, and orchestration across heterogeneous infrastructures.

is an open-source, secure operating system that uses AI-driven orchestration to unify edge and cloud resources into a scalable, energy-aware computing continuum, enabling trusted resource sharing across diverse devices and domains.

develops a holistic cybersecurity framework for IoT, providing continuous security assessment, trust management, and certification for open-source hardware and software. Its RISC-V-based TEE and micro-benchmarking pilots ensure secure deployment patching.

creates an edge‑aware, explainable AI architecture for industrial systems, combining AI orchestration, blockchain, and digital twins to optimize resources, ensure trust, and enhance transparency.

develops a scalable, GDPR-compliant framework for privacy-preserving data processing across federated, cross-border datasets. It includes a recommendation engine for selecting appropriate privacy technologies.

develops a beyond‑5G wireless network combining blockchain, AI/ML, and edge computing to enable secure, scalable, and intelligent multi-tenant connectivity. It introduces adaptive RAN management, federated learning, low-latency edge processing, and smart service models.

develops a human-centric, open-source platform for secure, sustainable, and adaptive 6G network service provisioning. It integrates AI, NFV, programmable networking, and predictive threat mitigation to manage complex, heterogeneous infrastructures.

develops a Mixed Reality training platform for First Responders, combining wearable sensors, haptics, and AI to monitor stress, performance, and personalized progress. The system enables immersive, gamified, multi-user simulations with real-time feedback and analytics.

is an experimental XR training application that uses extended reality and AI/ML to create immersive workplace safety scenarios for robot operators, helping them train for hazards like fires and robotic malfunctions.

develops a holistic cybersecurity framework for IoT and complex ICT infrastructures, enhancing risk assessment, privacy, and data protection. It combines collaborative threat intelligence, innovative risk analysis, trust mechanisms, and security training.

develops a resilient, self-healing electrical power nanogrid that strengthens energy system security against cyber, privacy, and operational threats. It combines risk assessment, anomaly detection, failure mitigation, and AR/VR-based personnel training.

focuses on climate-smart precision agriculture to help farmers adapt to climate change and rising food demand. It combines advanced sensing, monitoring, and data analytics to improve productivity, build resilience to extreme climate conditions.

enhances First Responders’ safety and efficiency by combining 5G, AR/VR, drones, sensors, and geospatial analytics to deliver real-time data, improve situational awareness, and support training and operations in disaster scenarios.

develops a next-generation IoT architecture combining SDN, edge computing, and virtualization with intelligent devices to enable low-latency, market-oriented applications. It applies distributed AI, AR/VR, and blockchain for smart manufacturing, energy, healthcare, and farming.

deploys a multi-stakeholder 5G infrastructure along the Barcelona–Perpignan corridor to enable cooperative, connected, and automated mobility and FRMCS services. It supports autonomous driving, AI-powered traffic management, and high-speed train connectivity.

strengthens ICT network security and privacy by combining IoT modelling, AI-driven decision-making, and automated firmware/software validation. Its platform measures, optimizes, and protects networks, demonstrated across firmware, virtualization, and management layers.

develops secure, reusable, and trustworthy AI frameworks for network automation in beyond-5G systems. It targets AI-enabled applications across vehicular networks, IoT, aerial inspections, and in-flight services, combining closed-loop AI pipelines.

enables secure, application-oriented deployment and management of 5G NetApps for vertical industries, allowing developers to define requirements while operators manage the underlying network. Focused on Industry 4.0.

develops industry-focused 5G NetApps for Industry 4.0, enabling secure, automated, and digitalized industrial operations. These NetApps are tested on a vendor-agnostic platform and will form the foundation of the EVOLVED-5G marketplace.

leverages 5G to modernize energy grids with automatic fault detection, remote inspections, precise generation control, and real-time wide-area monitoring. It also provides an open 5G experimental facility for testing and validating new services and NetApps in the energy sector.

creates a 5G corridor from Bologna to Munich to enable safer, greener, and smarter mobility, supporting cooperative driving, situation awareness, and infotainment. It combines V2V, V2I, V2N, 5G NR, C-V2X, and edge-cloud computing to enable autonomous driving.

enhances trust and privacy in healthcare data exchange by combining ontological data modelling, cybersecurity risk assessment, and blockchain technologies. It enables secure, GDPR-compliant sharing of sensitive health information across hospitals and care centers.

provides a modular platform to secure digital business chains, improving attack detection, data sovereignty, and situational awareness. It’s validated in Smart Mobility and eHealth through realistic industrial testbeds.

develops a secure, privacy-enabled, and resilient platform for decentralized energy systems. It combines risk assessment, distributed threat detection, and privacy protection, enabling safe energy exchange, cyberattack prevention, and real-world validated operations.

provides a next-generation Cyber Range as a Service platform for 5G networks. It combines cybersecurity testing, near-real-world training, and investment decision support, using advanced emulation and active learning exercises to strengthen skills and optimize cybersecurity strategies.

enhances vehicle cybersecurity by applying AI and ML to detect, prevent, and mitigate cyber threats in connected and autonomous vehicles, including EVs and 5G-enabled systems, across the entire automotive supply chain.

accelerates the deployment of eHealth solutions by connecting European startups and SMEs with hospitals in Italy, Spain, and Sweden. It provides a validation program for market-ready, data-driven technologies to support pandemic response.

creates an AI-driven framework for CPSoS that enables autonomous, collaborative, and secure operations, integrating human behaviour via extended reality, and validated in automotive and manufacturing scenarios.

develops a cost-efficient, open, and flexible 5G network for private and enterprise use, combining RAN virtualization, edge computing, hardware acceleration, and cloud-native orchestration. Its solutions support IoT, MVNOs, and novel business models.

supports SMEs in applying digital technologies to advance the circular economy, providing tools, matchmaking, and data resources to turn innovative concepts into viable circular business models.

provides a cost-effective, unobtrusive at-home solution for screening Obstructive Sleep Apnea, using breath tracking and advanced machine learning to directly measure apneic events.

strengthens smart grid cybersecurity by providing an integrated platform for detecting, responding to, and mitigating advanced cyberattacks. It combines big data analytics, anomaly detection, forensic readiness, and secure information exchange.

uses AI to monitor, analyse, and forecast traffic-related greenhouse gas emissions in European cities, providing recommendations to reduce pollution. Inspired by emission-filtering abilities, it leverages multimodal mobility data to optimize urban transport sustainability.

experimentally measures how different VPN encryption protocols affect 5G network performance and user devices, including throughput, CPU use, power consumption, and radio state behavior. The study was carried out on the Fed4FIRE+ testbeds to provide up‑to‑date data.

delivers a flexible edge-cloud platform for Small Cells, enabling multi-tenant, low-latency services and efficient resource use. It’s validated in crowded events, public safety, and in-flight connectivity scenarios.

is providing a shared experimental platform for researching and validating advanced wireless and network technologies, especially for 5G and beyond. It enables open access to real-world testbeds and tools so researchers and developers can experiment.

developed an AR application for urban guidance and live video streaming, leveraging FLAME’s MEC infrastructure for low latency and fast access. It enabled personalized AR experiences with 3D navigation, real-time geotagging, geofencing, and location-triggered multimedia and advertising.

is offering open access to networks, 5G, IoT, and cloud systems, enabling researchers and industry to experiment and validate next-generation technologies across multiple facilities.

tested LTE-WiFi Aggregation to steer downlink traffic from LTE to WiFi, evaluating performance and network robustness in unlicensed spectrum.

is designed to let developers create, deploy, and test programmable network functions and 5G services in a shared virtual environment. It provides flexible access to distributed virtual resources, enabling experimentation with advanced network architectures.