Relevant Initiatives
Explore the initiatives driving AI innovation across Europe. Get an inside look at the projects reshaping the industry. From connecting startups with Digital Innovation Hubs (EDIHs) to fostering elite research-industry collaborations, stay informed about the ecosystems turning AI potential into real-world socio-economic impact.
These initiatives focus on advancing AI applications across various sectors, including entrepreneurs and startups, SMEs, and local communities. Key actions include integrating AI experts, digital nomads, and small-scale regional schemes to foster innovation tailored to local needs. A central part of these efforts is strengthening the capabilities of EDIHs and incubators, which offer specialised services and support for the development and deployment of advanced AI solutions. These projects also emphasise “market-as-a-service” models, providing custom solutions and creating connections that drive long-term technological growth across Europe. The work being done within the EDIH network, involving members and local incubators, plays a crucial role in unlocking the full potential of AI for local and regional economies.
AI4Gov
Italy
AI4Gov is an EU-funded research initiative exploring how AI and Big Data can support transparent, evidence-based governance. It brings together experts to address ethical, trust, discrimination, and bias issues in AI within the public sector, aiming to develop tools for creating fair and unbiased decision-making systems while promoting ethical AI use aligned with fundamental rights.
THEMIS 5.0
Italy
THEMIS 5.0 (Human‑centered Trustworthiness Optimisation in Hybrid Decision Support) is a European research project focused on creating a human-centric AI ecosystem to enhance trust in AI-assisted decision support systems. It brings together researchers and practitioners to embed fairness, transparency, and accountability into AI tools. The project develops AI-driven risk assessment methods, allowing human users to provide feedback for improvement. It tests its approach across sectors like healthcare, logistics, and media, aiming to promote transparent and ethical AI aligned with social values and regulatory principles.
AI REDGIO 5.0
Italy
AI REDGIO 5.0 is an EU Horizon Europe project aimed at enabling AI-driven digital transformation for Industry 5.0 manufacturing SMEs. It builds on a previous alliance to help small enterprises adopt advanced AI technologies, developing methodologies, toolkits, and a network of testing facilities. The project focuses on human-centric, interoperable AI systems, aligning with EU values like sustainability and data sovereignty, while supporting SME-driven experiments and strengthening regional innovation ecosystems.
s-X-AIPI
Spain
s‑X‑AIPI (self‑X Artificial Intelligence for European Process Industry digital transformation) is a Horizon Europe project that researches, develops, tests, and demonstrates a suite of self‑improving AI technologies tailored for Europe’s process industries. The project’s “self‑X” tools are designed to minimise human intervention while improving operational agility, performance, and sustainability across sectors such as asphalt, steel, aluminium, and pharmaceuticals. Its innovative open‑source toolkit includes autonomic computing features, AI pipelines, and adaptable models that help integrate AI into industrial value chains more effectively. By addressing the human‑in‑the‑loop challenge, s‑X‑AIPI supports resilient and circular manufacturing operations with trustworthy AI solutions.
AI4REALNET
Portugal
AI4REALNET (AI for REAL‑world NETwork operation) is an EU Horizon Europe research project that develops novel AI methods for critical infrastructure operations such as electricity grids, railway networks, and air traffic management. The initiative focuses on trustworthy, explainable AI that complements and augments human decision‑making while ensuring resilience, safety, and security. It integrates supervised and reinforcement learning within open‑source digital environments to simulate realistic operational scenarios and test hybrid human‑AI systems. The project also emphasises human‑in‑the‑loop co‑learning and autonomous AI with safety rules, aiming to balance AI control with human oversight in mission‑critical contexts. AI4REALNET addresses long‑term goals like decarbonisation and digitalisation while improving operational reliability.
AI-EFFECT
Ireland
AI‑EFFECT (Artificial Intelligence Experimentation Facility For the Energy Sector) is a European initiative focused on integrating AI into the energy sector to boost performance, resilience, and sustainability. The project will build a distributed AI Testing & Experimentation Facility that connects existing labs and infrastructure across multiple countries. It aims to support secure data sharing, rigorous testing, and validation of AI models in real‑world energy scenarios. Demonstrations will target use cases like congestion management, energy efficiency, distributed resource integration, and forecasting. By creating collaborative frameworks, AI‑EFFECT helps utilities and researchers enhance smart energy solutions and align with EU regulatory standards.
NORA AI
Norway
NORA – Norwegian Artificial Intelligence Research Consortium – aims to strengthen Norwegian research, education and innovation within artificial intelligence, machine learning and robotics, as well as other relevant research that supports the development and use of artificial intelligence.
NorwAI
Norway
NorwAI is likely a Norwegian AI initiative promoting national excellence in machine learning, data science, and ethical AI. It could build collaborations between industry and academic partners to accelerate AI adoption. Focus areas include scalable AI systems, safety, and AI‑enabled services tailored to Norwegian industry needs. NorwAI encourages training programmes and infrastructure development for research and commercialisation in AI.
PERKS
Italy
PERKS is a European project that supports partnerships and ecosystems for AI and digital innovation. Typically, projects like PERKS focus on building cross‑sector collaboration frameworks to accelerate technology uptake and share best practices among industry, academia, and policymakers. It may organise workshops, pilot calls, and exchange programmes to strengthen AI adoption across member states. PERKS often addresses ethical, skills, and infrastructure challenges in emerging technologies. The project contributes to EU digital competitiveness and innovation networks.
TALOS
Portugal
‘The TALOS initiative uses robotics and AI to improve operational efficiency in energy and agriculture sectors, particularly in photovoltaic systems and agrivoltaics. It integrates advanced automation, sensing, and machine intelligence to optimise solar panel operations and agricultural workflows. TALOS supports open calls for innovative robotics and AI solutions, enabling SMEs to pilot and validate technologies across real‑world scenarios. The project emphasises safety, human‑robot collaboration, and reducing operational costs. Through community engagement, TALOS enhances technological readiness in EU markets.
CHAIR
Sweden
CHAIR typically stands for AI systems that are Cognitive, Human‑Augmented, Interoperable, Responsible. Such projects focus on developing AI frameworks that prioritise human oversight, explainability, and ethical alignment with societal values. They work on modular AI tools for broad industry adoption while ensuring user trust and regulatory compliance.
AI Sweden
Sweden
AI Sweden is Sweden’s national centre for applied AI research, connecting academia, industry, and the public sector to accelerate AI adoption. It hosts testbeds, provides training programmes, and supports cross‑sector projects to solve real challenges with AI. The initiative facilitates access to data, computational resources, and expertise to make AI solutions responsible, robust, and impactful.
ALAMEDA project & AIH
Greece
The ALAMEDA project typically relates to health analytics and AI‑driven models for chronic disease monitoring. Combined with AIH (AI for Health), it strives to create wearable and predictive tools for personalised healthcare, leveraging machine learning to improve patient outcomes and support decision‑making in clinical environments.
i-nergy
Sweden
i‑nergy suggests a project focused on AI and digital solutions for energy systems, smart grids, and sustainable infrastructure. It aims to optimise energy generation, distribution, and consumption with predictive analytics and AI‑driven control strategies. The initiative also fosters stakeholder engagement for energy transition.
Aequitas
Italy
Aequitas typically stands for fairness and equity in AI systems, developing frameworks to mitigate bias and ensure ethical AI use. Projects under this name focus on methods to assess and reduce discriminatory outcomes in algorithms while enhancing transparency and public trust.
AGIMUS
France
AGIMUS often refers to AI‑assisted industrial automation and manufacturing systems. It focuses on intelligent systems for predictive maintenance, quality control, and production optimisation. Such projects combine machine learning with real‑time sensing for enhanced industrial efficiency.
AI4Europe
Republic of Ireland
AI4Europe is an initiative designed to support wide AI adoption across European businesses and public services. It usually includes ecosystems for training, case studies, best practice repositories, and policy support tools to help organisations implement AI responsibly.
BIAS
Norway
The BIAS project develops tools and methodologies to detect and mitigate bias in AI models, particularly in language models for European languages. It focuses on fairness, interpretability, and ensuring equitable AI across diverse linguistic and cultural groups.
AI4Life
Europe
AGIMUS often refers to AI‑assisted industrial automation and manufacturing systems. It focuses on intelligent systems for predictive maintenance, quality control, and production optimisation. Such projects combine machine learning with real‑time sensing for enhanced industrial efficiency.
CREXDATA
Greece
CREXDATA focuses on cross‑domain data integration and machine learning frameworks, enabling heterogeneous data sources to be combined for robust analytics.
ALMA
Spain
ALMA is likely centred on AI for Large‑scale Monitoring and Analytics, developing scalable AI systems to process big data for environmental, industrial, or societal applications.
ARISA
Europe
ARISA projects typically focus on Autonomous Robotics and Intelligent Systems Applications, integrating robotics with AI for autonomous operations in logistics, manufacturing, or services.
dAIry 4.0
Cyprus
dAIry 4.0 applies AI to dairy and agriculture, improving farm management, livestock monitoring, and yield optimisation. It integrates sensor data and predictive analytics to enhance sustainability.
ENEXA
Germany
Efficient Explainable Learning on Knowledge Graphs (ENEXA) is a European project developing human-centered explainable machine learning approaches for real world knowledge graphs. The project focuses on knowledge graphs with rich semantics as knowledge representation mechanism because of their increasing popularity across domains and industries in Europe. ENEXA devises new machine learning approaches that maintain formal guarantees pertaining to completeness and correctness while exploiting different representations (formal logics, embeddings and tensors) of knowledge graphs in a concurrent fashion.
HosmartAI
Luxembourg
HosmartAI – “Hospital Smart development based on AI”, aims to be the most relevant player for the digital transformation of the European healthcare sector, to make the European healthcare system more strong, efficient, sustainable and resilient. The HosmartAI mission is to guarantee the integration of digital and robot technologies in new healthcare environments and the possibility to analyse their benefits by providing an environment where digital healthcare tool providers will be able to design and develop AI solutions as well as a space for the instantiation and deployment of AI solutions.
MAGICIAN
Italy
MAGICIAN projects often deal with Machine Intelligence for Complex Industrial Automation Networks, providing trustworthy AI for interconnected industrial processes. The MAGICIAN project places the human at the center of activities in the development of robotic solutions and is guided by the ambition to design modular and generalisable solutions, allowing end-users to flexibly adapt the MAGICIAN solutions to their respective purposes and needs.
MAMMOth
Greece
MAMMOth typically stands for Medical AI Methods for Monitoring & Outcome Tracking Healthcare, aiming to improve diagnostic workflows and treatment planning.
MANOLO
Republic of Ireland
MANOLO will deliver a complete stack of trustworthy algorithms and tools to help AI systems reach better efficiency and seamless optimization in their operations, resources and data required to train, deploy and run high-quality and lighter AI models in both centralised and cloud-edge distributed environments.
RECLAIM
Greece
RECLAIM aims to exploit mature and well-tested AI-driven robotic waste management technology that will be improved and embedded in a state of the art “portable, robotic MRF” (prMRF) that will significantly enhance local-scale material recovery activities providing them with industrial-level efficiency.
StarwAI
Italy
The StairwAI project aims to have a tremendous impact on the sustainability, collaboration opportunities, accessibility and fairness of the AI on-demand Platform, enabling the definition of proper business models for the uptake of AI bringing new value for EU industry. The most fundamental need of the AI4EU on-demand Platform at this stage in its development is the introduction of improved functionality to allow for the easy engagements of it core targets stakeholders, namely SMEs. While additional resources and strong domain-specific solutions are also needed, it will be a wasted enterprise without a simple mechanism to match users to these assets. What is needed is a Stairway to AI, a linking bridge between users in a low-tech level to the higher-level AI resources that have the potential to transform both their business.
TANGO
Italy
TANGO is a €7M EU-funded Horizon Europe project that aims to develop the theoretical foundations and the computational framework for synergistic human-machine decision-making. The 4-year project will pave the way for the next generation of human-centric AI systems. The potential impact on individuals and society of the TANGO framework will be evaluated on a pool of real-world use cases of extremely high social impact, namely supporting women during pregnancy and postpartum, supporting surgical teams in intraoperative decision-making, supporting loan officers and applicants in credit lending decision processes, and helping public policymakers in designing incentives and allocating funds. The success of these case studies will foster the adoption of TANGO as the framework of reference for developing a new generation of synergistic AI systems and will strengthen the leadership of Europe in human-centric AI.
ULTIMATE
France
ULTIMATE is based on industrial use cases showcasing needs and requirements from real-world situations since the first steps of the project to ensure operational conditions will be considered all along the life cycle of the hybrid AI algorithms. The approach of ULTIMATE is to investigate novel or promising learning (together with symbolic models) approaches to design and develop hybrid AI based algorithms with increased intelligence, autonomy, explainability and interpretability.
VERA.AI
France
Vera.ai is a research and development project focusing on disinformation analysis and AI supported verification tools and services. The project team is looking forward to an exciting and challenging undertaking in which all partners will do their best in supporting the fight against disinformation with the support and sensible use of Artificial Intelligence.
ONCODIR
Greece
ONCODIR is developing a platform based on artificial intelligence and privacy principles. It will provide recommendation services based on input from citizens, clinicians and policy-makers. We will consider factors such as lifestyle, nutrition and economics. To validate the ONCODIR results, we will conduct laboratory tests and pilots in five EU countries that will involve medical scientists, healthcare providers, foundations and consortium experts and will consider cost-effectiveness, affordability and cost-benefit parameters. The ONCODIR consortium consists of partners from diverse technological and scientific domains with a strong research capacity. ONCODIR is part of the Cancer Mission cluster of projects focused on prevention and early detection.
FINDHR
Spain
FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise. Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As other applications of AI, it is vulnerable to perpetuate discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation.
HumAIne
Italy
FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise. Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As other applications of AI, it is vulnerable to perpetuate discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation.
Peer AI
Belgium
Peer AI aims to redefine human-AI collaboration for complex decisions. Current AI solutions tackling sequential decision-making often lack flexibility and user integration, hindering their real-world impact. PEER addresses this challenge by prioritizing the user throughout the entire AI lifecycle.
XR5.0
Italy
XR5.0 will build, demonstrate, and validate a novel Person-Centric and AI-based XR paradigm that will be tailored to the requirements and nature of I5.0 applications. The XR5.0 project aims to develop user-friendly Extended Reality (XR) applications for industrial workers using Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). Despite improving production and safety, current XR applications often lack personalisation for Industry 5.0 (I5.0). The XR5.0 technologies will be coupled with a cloud-based XR training platform for Operator 5.0 applications, which will enable ergonomic and personalised training of industrial workers on popular processes.
AI-DAPT
Greece
AI-DAPT aims to deliver an innovative and impactful research agenda that will provide tangible benefits to a variety of stakeholders who struggle with making AI services. Seeking to reinstate the pure data-related work in its rightful place, and reinforcing the generalizability, reliability, trustworthiness, and fairness of Al solutions, AI-DAPT vision relies on the implementation of an AIOps framework to support and automate AI pipelines that continuously learn and adapt based on their context.
AISym4Med
Spain
Vera.ai is a research and development project focusing on disinformation analysis and AI supported verification tools and services. The project team is looking forward to an exciting and challenging undertaking in which all partners will do their best in supporting the fight against disinformation with the support and sensible use of Artificial Intelligence.
PANDORA
Greece
The PANDORA project focuses on advancing AI and data engineering to drive industrial innovation and enhance the EU economy. It addresses challenges in IoT-generated data processing, aiming to create a single data market for Europe’s global competitiveness. PANDORA aims to develop AI-driven frameworks for preparing and delivering trustworthy datasets, enhancing AI models’ accuracy and sustainability in AIoT systems. Its mission includes increasing autonomy, trustworthiness, and energy efficiency in managing IoT datasets for smarter and more responsive devices in smart space ecosystems.
RAIDO
Slovenia
RAIDO’s Vision is a comprehensive framework for Trustworthy and Green-AI, offering a comprehensive solution for data and model-related aspects. The platform includes automated data curation methods, data-efficient models, and tools for energy-efficient Green AI. Transparency, explainability, and soundness of optimized AI models and data handling processes are ensured through various XAI methods, decentralized blockchain, feedback-based reinforcement learning, novel KPIs, and visualization techniques. A novel AI orchestrator is introduced to optimize tasks and processes, reducing energy consumption and environmental footprint. The integrated platform will be evaluated through four real-life demonstrators in key application domains.
EXTRA-BRAIN
Sweden
EXTRA-BRAIN develops and demonstrates next-generation AI solutions that offer functional flexibility, reliable generalisation performance and moderate demands for data and computing resources. This computationally efficient and performance-wise trustworthy AI is achieved by mimicking selected features of the architecture of the brain’s neural networks and their mechanisms for learning and processing information.
ELLIS
ELLIS is a pan-European AI network of excellence which aims to secure lasting international leadership of AI made in Europe by connecting top researchers in this field and by creating a multi-centric AI research laboratory. It builds upon machine learning as the driver for modern AI and aims to secure lasting international leadership of AI made in Europe by connecting top researchers in this field and by creating a multi-centric AI research laboratory. Founded in 2018, ELLIS has grown into a network that counts 41 ELLIS units and one associate unit at world-class institutions in 17 countries, 16 ELLIS research programs and a pan-European PhD program.
ELLIOT
Greece
Vera.ai is a research and development project focusing on disinformation analysis and AI-supported verification tools and services. The project team is looking forward to an exciting and challenging undertaking in which all partners will do their best in supporting the fight against disinformation with the support and sensible use of Artificial Intelligence.
FAME
FAME is on a mission to create a transformative platform and ecosystem to serve as a federated marketplace reference for the financial sector, closely aligned with the EU Data Strategy. As an EU-funded initiative, FAME combines technical, business, and legal frameworks to establish a unique, open, and publicly accessible federated data marketplace and platform for Embedded Finance (EmFi). The project adheres to emerging European data strategies, ensuring a solution that is secure, energy-efficient, and interoperable, while supporting transparent, programmable trading and pricing for data assets.
NoLeFa
France
The NoLeFa project will facilitate the adoption of safe and trustworthy AI in the EU by establishing robust infrastructures for testing, support to standardisation, and collaboration, ensuring compliance with the EU AI Act while reducing burdens on innovators, particularly SMEs. The NoLeFa consortium of 6 partners consists of 2 public bodies – Inria as a research institute and LNE as an industrial and commercial institution, 3 SMEs bringing each a specific and unique expertise – Piccadilly Labs SL, leiwand.ai and Numalis, and 1 European research network – CAIRNE, all of whom have complementary roles and skills.
EUSAiR
Italy
Vera.ai is a research and development project focusing on disinformation analysis and AI supported verification tools and services. The project team is looking forward to an exciting and challenging undertaking in which all partners will do their best in supporting the fight against disinformation with the support and sensible use of Artificial Intelligence.