| Topic | HORIZON-CL4-2027-04-DIGITAL-EMERGING-11 |
|---|---|
| Status | Forthcoming |
| Call | HORIZON-CL4-2027-04 — DIGITAL |
| Destination | Achieving open strategic autonomy in digital and emerging enabling technologies (2026-27) |
| Type of action | Research and Innovation Actions |
| Opening | 17 November 2026 |
| Deadline | 18 March 2027 |
| Budget | around EUR 44 million per project · 1 project expected · EUR 44 million in total |
| TRL at the end | TRL 4 |
| Part B page limit | 40 pages (standard application form; check your call) |
| Template | Work Programme 2026–2027 application form |
Expected outcomes
Projects should contribute to all of the expected outcomes. The topic says: “The Apply AI Strategy also seeks to bolster EU capabilities and achieve excellence in AI to support the development of European frontier models. As part of the Frontier AI Initiative, which brings together Europe’s leading actors in the field, this topic will support the development of sovereign frontier AI ensuring safety by design. This topic directly contributes to the Apply AI Strategy.…”
- EO1 Strengthened European capabilities in the development of frontier AI models.
- EO2 Improved computational efficiency of frontier AI models, resulting in reduced computational costs.
- EO3 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.
What evaluators will look for in this topic
Expected outcomes
- Projects should contribute to all of the expected outcomes.
- For each outcome (EO1 to EO3), name who will use or adopt your results (a specific group, not “industry” or “society”), how they get them, and the indicator that shows the change, with baseline, target and date.
- Use the topic's own words for each outcome, so the evaluator can tick it off.
What the scope asks for
Evaluators check the proposal against these sentences of the scope. Answer each one visibly, in the call's own words.
- “The AI model should demonstrate state-of-the-art performance, have multimodal capabilities, and be optimized for agentic AI capabilities such as tool use, reasoning, and autonomous problem-solving.”
- “Modern AI models, especially frontier AI models, require substantial computational resources, with a significant impact in the environment.”
- “The project should establish strong links with the Resource for AI Science in Europe (RAISE), ensuring that its priorities inform the research topics addressed.”
- “Activities are expected to involve the European AI research community and attract and retain top AI talent working on frontier models and related areas.”
- “All proposals are expected to incorporate mechanisms for assessing and demonstrating progress, including qualitative and quantitative KPIs, benchmarking, and progress monitoring.”
- “When possible, proposals should build on and reuse public results from relevant previous funded actions.”
- “Communicable results should be shared with the European R&D community through the AI-on-demand platform.”
- “The project selected in this topic should link to the resources offered by the AI Factories and the Data Labs.”
- “All proposals are expected to 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.”
Conditions that shape the proposal
- Part B, sections 1–3: 40 pages (standard application form). Text beyond the limit is not read; tables and figures count.
- TRL: the topic expects TRL 4 by the end of the project. State where you start and the evidence for it.
- Other Eligible Conditions: “In order to achieve the expected outcomes, and safeguard the Union’s strategic assets, interests, autonomy, and security, it is important to avoid a situation of technological dependency on a non-EU source, in a global context that requires the EU to take action to build on its strengths, and to carefully assess and…”
- Other Eligible Conditions: “For the duly justified and exceptional reasons listed in the paragraph above, in order to guarantee the protection of the strategic interests of the Union and its Member States, entities established in an eligible country listed above, but which are directly or indirectly controlled by a non-eligible country or by a…”
- Other Eligible Conditions: “[[ The guarantees shall in particular substantiate that, for the purpose of the action, measures are in place to ensure that: a) control over the applicant legal entity is not exercised in a manner that retrains or restricts its ability to carry out the action and to deliver results, that imposes restrictions…”
Impact pathway and traps
- The scope expects pilots or demonstration. Name the sites, the partners who run them and what is measured there.
- Keep outputs, outcomes and impacts apart: what you deliver, what changes when others use it, and the long-term effect.
- Link your outcomes to the destination's expected impacts in the Work Programme. Destination impacts are long-term effects, not project deliverables.
- Name the barriers outside the project (regulation, markets, user behaviour) that could block uptake, and what you will do if they do.
- Section 2.3 (the summary canvas) is optional on this call; the old split into scientific, economic and societal impact is no longer required.
The scope, as published
To advance developments of frontier AI models towards highest-level performance, while ensuring energy efficiency, addressing computational constraints, and strengthening safety. The approach of this topic is twofold. First, it aims to advance the AI field through the development and training of a frontier AI model. The AI model should demonstrate state-of-the-art performance, have multimodal capabilities, and be optimized for agentic AI capabilities such as tool use, reasoning, and autonomous problem-solving. Second, this topic supports 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. The primary drivers behind computational efficient AI systems are the urgent challenges posed by the growing energy footprint of AI and current computational limitations. Modern AI models, especially frontier AI models, require substantial computational resources, with a significant impact in the environment. Additionally, they create barriers to entry to those interested in advancing the AI field. Key research areas include compression and distillation techniques aimed at reducing the complexity of large AI models. Innovations in AI architectures are also relevant, with a focus on innovative models that significantly lower computational demands for training and inference. Further, algorithmic approaches aimed at minimizing computational load during pre-training, post-training, and inference can also be considered. Ensuring the safety of AI systems is essential, especially as AI models become increasingly sophisticated and pervasive. Potential research areas to be considered include addressing misalignment, particularly the unintentional misalignment of large AI models. Work in this area could 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). Additionally, research could focus on enhancing robustness against adversarial attacks, jailbreaks, and backdoors. Further potential areas for innovation include advancing AI models transparency and interpretability. Safety research could also 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. This topic contributes to the EU Frontier AI initiative. The project should establish strong links with the Resource for AI Science in Europe (RAISE), ensuring that its priorities inform the research topics addressed. Activities are expected to involve the European AI research community and attract and retain top AI talent working on frontier models and related areas. All proposals are expected to incorporate mechanisms for assessing and demonstrating progress, including qualitative and quantitative KPIs, benchmarking, and progress monitoring. When possible, proposals should build on and reuse public results from relevant previous funded actions. Communicable results should be shared with the European R&D community through the AI-on-demand platform. The project selected in this topic should link to the resources offered by the AI Factories and the Data Labs. Where relevant, it could also establish links with European companies developing frontier AI models. All proposals are expected to 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.
Technology readiness, as published
Activities are expected to start at TRL 2 and achieve TRL 4 by the end of the project – see General Annex B. COM(2025)723 Apply AI Strategy
Other topics in HORIZON-CL4-2027-04
- HORIZON-CL4-2027-04-DATA-03 — New approaches for decentralized, federated and sustainable AI data processing…
- HORIZON-CL4-2027-04-DATA-08 — Demand-side 3C pilot demonstrators on converged Telco Edge Cloud…
- HORIZON-CL4-2027-04-DATA-09 — Energy efficiency and sustainability of AI data processing in Data Centres (IA)
- HORIZON-CL4-2027-04-DIGITAL-EMERGING-04 — Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised…
- HORIZON-CL4-2027-04-DIGITAL-EMERGING-05 — Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and…
- HORIZON-CL4-2027-04-HUMAN-01 — Advanced and Innovative hardware components for Virtual Worlds (RIA) (Virtual…
- HORIZON-CL4-2027-04-HUMAN-02 — Create a thriving and competitive Virtual Worlds and Web 4.0 ecosystem (CSA)…
- HORIZON-CL4-2027-04-HUMAN-07 — Facilitate the engagement of European stakeholders in international digital…
Source and attribution
Topic text from the official topic page on the EU Funding & Tenders Portal, retrieved 19 October 2026. © European Union, reused under Commission Decision 2011/833/EU (CC BY 4.0). Changes: the expected outcomes and impacts are split into numbered statements, long passages are shortened, and the evaluator checklist is GrantWise's own commentary. Your call and the Work Programme always win; check them before you submit. GrantWise is independent and not affiliated with, endorsed by, or acting on behalf of the European Commission.