Efficient and compliant access to and use of data (IA) (AI, Data and Robotics partnership)
Overview
Eligible applicants include legal entities from EU Member States, Iceland, Norway, associated countries, and OECD nations, with explicit exclusions for entities established in China and those controlled by non-eligible countries. The funding mechanism is classified as an Innovation Action under Horizon Europe, providing a grant range between €11.5 million to €23.5 million per project. The total budget allocated for this specific call is €46.5 million, anticipating support for three projects.
The application process is structured as a single-stage submission system, where proposals must be submitted between January 15, 2026, and April 15, 2026. This opportunity requires consortiums that should involve various stakeholders, including industry, public administrations, and research organizations, fostering collaboration across borders.
Key sectors targeted by this funding include AI, data management, regulatory compliance technologies, and the broader digital economy. The projects are expected to develop solutions that automate regulatory processes, enhance data integration, and ensure compliance with EU data protection frameworks, thereby reducing administrative burdens while promoting interoperability and trust among stakeholders.
The dual focus of the call encompasses two main areas: AI-driven compliance technologies to streamline adherence to EU regulations, and secure data management systems to automate data processes, ensuring data privacy and compliance. Successful projects should address societal and industrial needs, supporting strategic EU initiatives like the Data Union and Digital Justice strategies.
Co-funding ranging from 25% to 50% of total project costs is expected, reinforcing the model of shared investment in European innovation. Overall, this funding opportunity represents a substantial financial commitment to drive digital advancements and maintain the EU's competitiveness in the AI domain. Successful projects will not only enhance public services but also position the EU at the forefront of global regulatory innovation and data management practices.
Detail
The expected outcomes of this funding opportunity are:
1. Development of secure, compliant, and adaptive systems to improve data availability, accuracy, privacy, and interoperability across the Union.
2. Delivery of advanced, AI-driven compliance technologies and regulatory tools to reduce administrative burdens, promote regulatory efficiency, and facilitate the implementation of key EU strategies, including the Data Union Strategy, a Single Market for data, Common European Data Spaces, the European Business Wallet, and the Digital Justice Strategy for 2025-2030.
3. Enablement of more agile regulatory processes, foster mutual recognition of compliance efforts across borders and cross-border cooperation, support interoperability between Member States, and enhance transparency and trust, positioning the Union at the forefront of regulatory innovation.
4. Enhancement of the excellence and competitiveness of companies, professionals, and public administrations by providing innovative, automated solutions to navigate and comply with Union rules seamlessly across borders.
5. Enhancement of public services and strengthening the competitiveness and digital sovereignty of the EU by improved availability and use of high-quality real and synthetic data to train AI systems more effectively.
The scope of this topic is to support the deployment of secure, interoperable, and scalable data management systems, ensuring seamless cross-sector data integration, automation of key processes, and compliance with EU frameworks. The actions should deliver high-quality, well-structured, secure, and compliant data, tailored to evolving societal, industrial, research, and public sector needs, underpinning key EU strategies.
Proposals should address one or both of the following areas, indicating the main focus:
Area 1: Development and deployment of advanced, AI-driven compliance technologies and solutions that automate data transactions and key regulatory processes, reduce administrative burdens, and facilitate seamless adherence to EU rules. This includes RegTech/GovTech/LegalTech applications such as digital tools offering real-time compliance guidance, automated rule-drafting assistants for policymakers, and multilingual chatbots providing regulatory support to businesses and professionals. Predictive analytics and risk-based approaches should allow tailored compliance pathways, while integration with national systems and the Single Digital Gateway should promote cross-border mutual recognition and application of the Once-Only Principle. Public administrations should be equipped with automated compliance assessment tools, real-time analytics dashboards, and interoperability frameworks to enhance and streamline regulatory oversight and cooperation. The technologies and solutions should contribute to the principles of fairness, accountability and transparency in AI-driven compliance solutions, including traceability and explainability of automated actions. The solutions should adhere to open technical standards, ensuring scalability, inclusiveness, and co-development with private and public stakeholders. Robust cybersecurity, trustworthy AI, trust safeguards, security and privacy cryptographic protection, including via post-quantum cryptography, should be embedded, aligning with EU data protection and digital identity frameworks. Artificial intelligence and machine learning models should be harnessed to enable data-driven feedback loops that support continuous policy learning, allowing regulators to monitor rule implementation, identify unnecessary burdens, and simplify legislation based on real-time evidence. Where appropriate, the actions should build on and integrate the privacy-enhancing technologies developed under earlier topics in the Horizon Europe programme.
Area 2: Design and deployment of secure, scalable, and adaptive data management systems that automate key data processes, such as data curation, metadata tagging, ontology management and discovery, labelling, annotation, and quality control, developing and adapting appropriate AI methods and tools for these specific tasks. These systems should facilitate seamless integration and sharing of data across sectors and disciplines, ensuring interoperability, data provenance, data privacy and handling secured against emerging quantum threats via post-quantum cryptography, and compliance with applicable EU legal frameworks. Special emphasis is on enhancing data accuracy, representativeness, and relevance, particularly for use cases in industry, public services, citizen engagement, and the development of trustworthy AI applications, as well as the Common European Data Spaces. The development of such high-quality, semantically rich datasets will be essential to unlock the full potential of AI across domains. Furthermore, the actions may also support the generation and use of high-quality synthetic data, including spatial synthetic data, to complement real-world datasets while preserving data privacy via advanced, state-of-the-art cryptographic protection. This may include, among others, the use of AI-enabled generative graphics pipelines to automate the creation of large-scale simulated environments and the application of parallelised and/or neuromorphic computing techniques to train AI models and artificial agents efficiently.
Actions under both areas should consider the work of the Data Spaces Support Centre and build synergies with related Union initiatives. Close collaboration with relevant European Partnerships, stakeholders, including industry, public administrations, and research organisations, is crucial.
The destination of this topic is to develop an agile and secure single market and infrastructure for data-services and trustworthy artificial intelligence services (2026-27). This involves the convergence of the Telco-Edge-Cloud continuum (3C) with open orchestration platforms to unlock the transformative potential of AI across strategic sectors. It also includes building a sovereign Open Internet Stack, rooted in open-source, interoperable and standard-based solutions, and promoting decentralized and federated approaches to AI data processing.
Legal entities established in China are not eligible to participate in both Research and Innovation Actions (RIAs) and Innovation Actions (IAs) falling under this destination.
General conditions for admissibility, eligibility, financial and operational capacity, exclusion, evaluation, award, and legal and financial set-up are described in the General Annexes of the Horizon Europe Work Programme. Specific conditions are described in the specific topic of the Work Programme.
Application and evaluation forms, as well as the model grant agreement (MGA), are available in the Submission System. Additional documents include the Horizon Europe Main Work Programme 2026-2027, the Horizon Europe Programme Guide, the Horizon Europe Framework Programme 2021/695, the Horizon Europe Specific Programme Decision 2021/764, the EU Financial Regulation 2024/2509, rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment, the EU Grants AGA, and the Funding & Tenders Portal Online Manual.
The budget overview for this topic and related topics is as follows:
HORIZON-CL4-2026-04-DATA-02 - HORIZON-RIA: EUR 20,500,000 (Contributions: EUR 7,000,000 to EUR 10,250,000; Indicative number of grants: 2)
HORIZON-CL4-2026-04-DATA-03 - HORIZON-CSA: EUR 4,000,000 (Contribution: around EUR 4,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DATA-06 - HORIZON-IA: EUR 46,500,000 (Contributions: EUR 11,500,000 to EUR 23,500,000; Indicative number of grants: 3)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-01 - HORIZON-RIA: EUR 17,000,000 (Contribution: around EUR 17,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-08 - HORIZON-RIA: EUR 18,000,000 (Contribution: around EUR 18,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-09 - HORIZON-IA: EUR 6,000,000 (Contribution: around EUR 6,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-11 - HORIZON-CSA: EUR 2,000,000 (Contribution: around EUR 500,000; Indicative number of grants: 3)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-12 - HORIZON-CSA: EUR 1,000,000 (Contribution: around EUR 1,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-14 - HORIZON-CSA: EUR 3,000,000 (Contribution: around EUR 3,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-15 - HORIZON-CSA: EUR 1,000,000 (Contribution: around EUR 1,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-17 - HORIZON-CSA: EUR 1,000,000 (Contribution: around EUR 1,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-18 - HORIZON-RIA: EUR 10,000,000 (Contribution: around EUR 10,000,000; Indicative number of grants: 1)
HORIZON-CL4-2026-04-DIGITAL-EMERGING-19 - HORIZON-RIA: EUR 45,000,000 (Contribution: around EUR 15,000,000; Indicative number of grants: 3)
HORIZON-CL4-2026-04-HUMAN-01 - HORIZON-IA: EUR 30,000,000 (Contributions: EUR 4,000,000 to EUR 5,000,000; Indicative number of grants: 7)
HORIZON-CL4-2026-04-HUMAN-02 - HORIZON-RIA: EUR 16,800,000 (Contributions: EUR 2,800,000 to EUR 8,400,000; Indicative number of grants: 3)
There are partner search announcements available for collaboration on this topic. The submission system is planned to open on the date stated on the topic header.
This Horizon Europe funding opportunity aims to bolster the EU's digital leadership by supporting projects that develop secure, interoperable, and scalable data management systems. These systems should facilitate cross-sector data integration, automate key processes, and ensure compliance with EU frameworks. The focus is on delivering high-quality, secure, and compliant data that meets the evolving needs of society, industry, research, and the public sector. Projects can concentrate on either AI-driven compliance technologies or secure data management systems, but must align with EU strategies like the Data Union Strategy and the Digital Justice Strategy. Ultimately, this initiative seeks to create a more agile, secure, and competitive data-driven economy in Europe, while upholding digital sovereignty and European values.
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Breakdown
Funding Type: The funding type includes HORIZON Innovation Actions (HORIZON-IA), HORIZON Research and Innovation Actions (HORIZON-RIA), and HORIZON Coordination and Support Actions (HORIZON-CSA). These are grant-based actions under the Horizon Europe program.
Consortium Requirement: The information suggests that both single applicants and consortia are possible, as the call aims to foster collaboration among industry, public administrations, and research organizations. The partner search announcements also imply the possibility of forming consortia.
Beneficiary Scope (Geographic Eligibility): The geographic eligibility includes legal entities established in Member States of the EU, Iceland, Norway, associated countries, and OECD countries. Legal entities established in China are specifically excluded.
Target Sector: The program targets the digital sector, specifically focusing on AI, data, and robotics. It also addresses areas such as regulatory technology (RegTech), government technology (GovTech), and legal technology (LegalTech). The program aims to improve data management systems, cross-sector data integration, automation, and compliance with EU frameworks. It also targets sectors like mobility, energy, health, and manufacturing by fostering new services and business models through AI.
Mentioned Countries: Iceland, Norway, China. The text also refers to EU Member States and OECD countries.
Project Stage: The project stage varies depending on the type of action. Innovation Actions (IAs) suggest a more mature project stage, focusing on deployment and implementation. Research and Innovation Actions (RIAs) indicate earlier stages of research and development. Coordination and Support Actions (CSAs) focus on networking, coordination, and dissemination activities. The program supports projects aiming to develop, deploy, and scale data management systems, suggesting a focus on validation, demonstration, and potentially commercialization or scale-up stages.
Funding Amount: The funding amounts vary significantly depending on the specific topic and type of action:
HORIZON-CL4-2026-04-DATA-02 (RIA): €7,000,000 to €10,250,000
HORIZON-CL4-2026-04-DATA-03 (CSA): around €4,000,000
HORIZON-CL4-2026-04-DATA-06 (IA): €11,500,000 to €23,500,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-01 (RIA): around €17,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-08 (RIA): around €18,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-09 (IA): around €6,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-11 (CSA): around €500,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-12 (CSA): around €1,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-14 (CSA): around €3,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-15 (CSA): around €1,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-17 (CSA): around €1,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-18 (RIA): around €10,000,000
HORIZON-CL4-2026-04-DIGITAL-EMERGING-19 (RIA): around €15,000,000
HORIZON-CL4-2026-04-HUMAN-01 (IA): €4,000,000 to €5,000,000
HORIZON-CL4-2026-04-HUMAN-02 (RIA): €2,800,000 to €8,400,000
Application Type: The application type is an open call with a single-stage submission process.
Nature of Support: The beneficiaries will receive money in the form of grants to support their projects.
Application Stages: The application process involves a single stage.
Success Rates: The success rates are not explicitly mentioned, but the indicative number of grants for each topic provides some insight. For example, HORIZON-CL4-2026-04-DATA-06 indicates that approximately 3 grants will be awarded out of the pool of applicants.
Co-funding Requirement: The information does not explicitly state whether co-funding is required. However, Horizon Europe grants typically fund a percentage of the total project costs, implying that applicants may need to secure additional funding from other sources.
In summary, this Horizon Europe call under the DIGITAL program aims to foster the development and deployment of secure, interoperable, and scalable data management systems across the European Union. The call is structured around several topics, each with a specific focus and budget, ranging from Research and Innovation Actions (RIA) to Innovation Actions (IA) and Coordination and Support Actions (CSA). The primary goal is to enhance data availability, accuracy, privacy, and interoperability, while also promoting regulatory efficiency and compliance with EU frameworks. The call encourages collaboration among various stakeholders, including industry, public administrations, and research organizations, to ensure that the developed systems meet the practical needs of data users and contribute to the EU's digital sovereignty and competitiveness. The call is a single-stage submission process, with the submission system planned to open on January 15, 2026, and a deadline of April 15, 2026. Legal entities from EU Member States, Iceland, Norway, associated countries, and OECD countries are eligible to apply, with specific exclusions for entities established in China or controlled by Chinese entities. The funding amounts vary depending on the type of action, ranging from around €500,000 for Coordination and Support Actions to over €23,500,000 for Innovation Actions. The program is designed to support projects at various stages of maturity, from early-stage research to deployment and scaling of innovative solutions.
Short Summary
Impact The funding aims to develop secure, compliant, and adaptive systems to improve data availability, accuracy, privacy, and interoperability across the Union, while delivering advanced AI-driven compliance technologies and regulatory tools. | Impact | The funding aims to develop secure, compliant, and adaptive systems to improve data availability, accuracy, privacy, and interoperability across the Union, while delivering advanced AI-driven compliance technologies and regulatory tools. |
Applicant Applicants should possess expertise in AI, data management, regulatory technology, and compliance solutions, with a focus on collaboration among industry, public administrations, and research organizations. | Applicant | Applicants should possess expertise in AI, data management, regulatory technology, and compliance solutions, with a focus on collaboration among industry, public administrations, and research organizations. |
Developments The funding will support the deployment of secure, interoperable, and scalable data management systems, enhancing cross-sector data integration and compliance with EU frameworks. | Developments | The funding will support the deployment of secure, interoperable, and scalable data management systems, enhancing cross-sector data integration and compliance with EU frameworks. |
Applicant Type This funding is designed for legal entities established in EU Member States, Iceland, Norway, associated countries, and OECD countries, excluding entities established in China. | Applicant Type | This funding is designed for legal entities established in EU Member States, Iceland, Norway, associated countries, and OECD countries, excluding entities established in China. |
Consortium A consortium of multiple applicants is required for this funding opportunity. | Consortium | A consortium of multiple applicants is required for this funding opportunity. |
Funding Amount Funding amounts range from €11,500,000 to €23,500,000 per project. | Funding Amount | Funding amounts range from €11,500,000 to €23,500,000 per project. |
Countries Relevant countries include all EU Member States, Iceland, Norway, and associated OECD countries, with specific exclusions for entities established in China. | Countries | Relevant countries include all EU Member States, Iceland, Norway, and associated OECD countries, with specific exclusions for entities established in China. |
Industry This funding targets the digital sector, specifically focusing on AI, data, and robotics, aligning with EU strategies such as the Data Union Strategy and Digital Justice Strategy. | Industry | This funding targets the digital sector, specifically focusing on AI, data, and robotics, aligning with EU strategies such as the Data Union Strategy and Digital Justice Strategy. |
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