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Horizon Europe
1 phase
Strategic Analysis
This call targets the development of cutting-edge frontier AI solutions, with a strong emphasis on ensuring their safety, computational efficiency, and energy frugality. A winning proposal will demonstrate a clear strategy for advancing state-of-the-art AI models while rigorously addressing ethical considerations, computational demands, and fostering a robust European AI ecosystem.
TRL 2 → 4
Advance developments of frontier AI models towards highest-level performance, ensuring energy efficiency, addressing computational constraints, and strengthening safety.
Develop and train a frontier AI model demonstrating state-of-the-art performance, multimodal capabilities, and optimization for agentic AI capabilities such as tool use, reasoning, and autonomous problem-solving.
Support research on comprehensive methods to reduce the computational demands of frontier AI models and to ensure their safety, including technical methodologies such as automated testing and interpretability.
Conduct research in compression and distillation techniques aimed at reducing the complexity of large AI models.
Innovate in AI architectures with a focus on models that significantly lower computational demands for training and inference.
Develop algorithmic approaches aimed at minimizing computational load during pre-training, post-training, and inference.
Address misalignment, particularly unintentional misalignment of large AI models.
Explore methods to detect and mitigate sophisticated misbehaviour, such as alignment faking, reward hacking of human oversight, and encoded reasoning in chain-of-thought (CoT).
Enhance robustness against adversarial attacks, jailbreaks, and backdoors.
Advance AI models transparency and interpretability.
Consider risks that may arise when embedding frontier models within agentic AI frameworks, significantly contributing to the trust and safe adoption of powerful AI solutions.
Establish strong links with the Resource for AI Science in Europe (RAISE), ensuring its priorities inform the research topics addressed.
Involve the European AI research community and attract and retain top AI talent working on frontier models and related areas.
Incorporate mechanisms for assessing and demonstrating progress, including qualitative and quantitative KPIs, benchmarking, and progress monitoring.
Build on and reuse public results from relevant previous funded actions when possible.
Share communicable results with the European R&D community through the AI-on-demand platform.
Link to the resources offered by the AI Factories and the Data Labs.
Establish links with European companies developing frontier AI models where relevant.
Allocate tasks for cohesion activities with the European Partnership on AI, data, and robotics (ADRA) and the CSA HORIZON-CL4-2025-03-HUMAN-18: GenAI4EU central Hub.
Strengthened European capabilities in the development of frontier AI models.
Improved computational efficiency of frontier AI models, resulting in reduced computational costs.
Enhanced safety of advanced AI systems based on frontier AI models through the development and implementation of safe-by-design principles and/or AI agents acting as safety evaluators.
Consolidate Europe’s world-class research ecosystem through initiatives like the RAISE network of AI science labs.
Develop safe and efficient frontier AI models.
Deploy next-generation AI agents and robotics in strategic sectors.
Reinforce Europe’s excellence across quantum computing, sensing and communication.
Secure technological sovereignty (in quantum) through new infrastructures and standardisation.
Ensure Europe’s capacity to innovate, scale and compete globally in photonics and semiconductor technologies.
Further strengthen Europe’s position at the cutting edge to make sure Europe does not miss the emergence of new disruptive technologies.
Secure a cohesive, sovereign and future-proof European industrial base.
Apply AI Strategy
highHE Main Work Programme 2026-2027
highThe Horizon Europe Main Work Programme 2026-2027 is a key document that details the specific funding opportunities, topics, and expected impacts for research and innovation activities under Horizon Europe for the specified period. It translates the broader strategic orientations of the Framework Programme and Specific Programme into concrete calls for proposals, providing detailed guidance for applicants.
Proposals must demonstrate a precise alignment with the specific topic description, scope, and expected outcomes as detailed in the Horizon Europe Main Work Programme 2026-2027. Evaluators will assess the proposal's relevance to the call's objectives, its contribution to the expected impacts, and its adherence to any specific conditions or requirements outlined in the Work Programme.
HE Framework Programme 2021/695
highRegulation (EU) 2021/695 establishes Horizon Europe as the EU's framework programme for research and innovation for the period 2021-2027. It defines the programme's overarching objectives, structure (Pillars, Missions, Partnerships), funding instruments, and general rules for participation, aiming to strengthen the EU's scientific and technological bases and foster competitiveness.
Proposals must demonstrate full compliance with the Horizon Europe Regulation, including its general objectives, ethical principles, and rules for participation. Evaluators expect proposals to articulate how they contribute to the broader strategic goals of Horizon Europe, such as achieving scientific excellence, fostering innovation ecosystems, and addressing EU strategic priorities like digital transformation and strategic autonomy.
HE Specific Programme Decision 2021/764
highCouncil Decision (EU) 2021/764 establishes the Specific Programme implementing Horizon Europe, detailing the specific objectives, budget breakdown, and broad lines of activities for each pillar and cluster, including the 'Digital, Industry and Space' cluster. It provides more granular guidance on the types of research and innovation activities to be supported within the broader Horizon Europe framework.
Proposals should clearly align with the specific objectives and expected impacts outlined in the Specific Programme Decision for the relevant cluster (e.g., Cluster 4 'Digital, Industry and Space'). Evaluators will look for how the project contributes to the detailed work programme priorities and expected outcomes, demonstrating a clear understanding of the strategic direction for space research and innovation within Horizon Europe.
EU Financial Regulation 2024/2509
highDraghi report
mediumThe Draghi report, officially titled "Future of European Competitiveness", was commissioned by the European Council and published in 2024. It provides an independent high-level analysis and recommendations on how to enhance Europe's competitiveness and productivity growth in a rapidly changing global landscape. The report emphasizes the need for strategic investments, a deeper single market, and a more agile regulatory environment to foster innovation and economic resilience.
Proposals should demonstrate an understanding of the challenges and opportunities identified in the Draghi report, particularly regarding Europe's competitiveness in frontier technologies like AI. Evaluators will look for how projects contribute to strengthening Europe's strategic autonomy, fostering innovation ecosystems, and addressing barriers to growth and scalability for advanced AI solutions within the EU.
Competitiveness Compass
mediumThe Competitiveness Compass is a framework or initiative, often associated with specific EU institutions or presidencies, aimed at guiding policy actions to enhance the EU's overall competitiveness. It typically identifies key areas for improvement, such as innovation, digital transformation, skills, and a well-functioning single market.
Proposals should demonstrate how they contribute to the strategic objectives outlined in the Competitiveness Compass, for example, by fostering innovation, strengthening the digital economy, addressing skill gaps, or improving the business environment in Europe to boost overall competitiveness.
Evaluators will prioritize proposals that clearly articulate a vision for European technological sovereignty in frontier AI, showcasing concrete technical advancements in model performance, energy efficiency, and safety-by-design principles. Strong emphasis will be placed on the integration with existing European AI initiatives (RAISE, AI Factories, Data Labs, ADRA) and the capacity to attract and retain top AI talent within the EU. Measurable KPIs for progress assessment are crucial.
The AI has drafted potential core elements based on the call analysis. To start building your project proposal structure, select the elements that resonate with your consortium's concept. You can refine and rewrite them fully once your project workspace is created.
The development and training of frontier AI models currently require significant computational resources and energy, leading to high costs and environmental impact, hindering broader accessibility and sustainability.
Frontier AI models, especially agentic AI, pose significant safety risks due to potential misalignment, sophisticated misbehaviour, and vulnerability to adversarial attacks, undermining trust and safe adoption in critical applications.
Despite strong research capabilities, the European AI ecosystem faces challenges in cohesion, talent retention, and coordinated development of frontier AI, risking technological dependency and hindering global competitiveness.
Individuals and teams actively involved in the research, development, and training of frontier AI models, including those focusing on computational efficiency, safety, and interpretability.
Enterprises, particularly SMEs, engaged in developing and deploying advanced AI solutions, including agentic AI and robotics, in strategic sectors.
The broader academic and research community interested in AI, machine learning, and related fields, benefiting from shared results, methodologies, and talent development.
European and national authorities responsible for shaping AI policy, regulation, and strategic initiatives, benefiting from insights into safe and ethical AI development.
Industries and public services that will adopt and benefit from next-generation AI agents and robotics, requiring safe, efficient, and trustworthy AI solutions.
To research, develop, and train frontier AI models that achieve highest-level performance, exhibit multimodal and agentic capabilities (tool use, reasoning, autonomous problem-solving), and are significantly optimized for energy and computational efficiency across training and inference phases.
To develop comprehensive methodologies and architectural innovations that enhance the safety, robustness against adversarial attacks, and interpretability of frontier AI models. This includes addressing unintentional misalignment, detecting sophisticated misbehaviour (e.g., alignment faking), and considering risks within agentic AI frameworks to foster trust and safe adoption.
To establish strong collaborative links with key European AI initiatives (RAISE, AI Factories, Data Labs, ADRA, GenAI4EU central Hub), involve the broader European AI research community, attract and retain top AI talent, and engage European companies developing frontier AI models. This objective also includes mechanisms for assessing progress and sharing communicable results via the AI-on-demand platform.
The project will significantly strengthen Europe's capabilities in frontier AI research and development, fostering a world-class ecosystem and attracting top talent, thereby reducing reliance on non-EU sources.
The development of more computationally and energy-efficient frontier AI models will lead to reduced operational costs and a lower environmental footprint for AI development and deployment.
Through advanced safety-by-design principles, robust defence mechanisms, and enhanced interpretability, the project will significantly increase the safety and trustworthiness of frontier AI models, enabling their responsible adoption.
The project will facilitate the deployment of safe and efficient next-generation AI agents and robotics in key European strategic sectors, driving innovation and competitiveness.
By fostering a cohesive and future-proof European industrial base for frontier AI, the project will reinforce Europe's capacity to innovate and compete globally, securing technological sovereignty and reducing external dependencies.