HORIZON-INFRA-2025-01-EOSC-03: Advancing AI-readiness and…

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01Open now
02Who won
03Who wins calls like this
04Call scope
05Eligibility & conditions
06Official source

Open now: calls like this one

This call is closed. These open or upcoming calls fund the closest work.

Expanding and deepening the EOSC Federation (EOSC Partnership)HORIZON-INFRA-2027-01-EOSC-01Upcoming · 15 Jun 2027
Strengthening the potential of the EOSC for knowledge valorisation and industry-academia collaboration (EOSC Partnership)HORIZON-INFRA-2027-01-EOSC-02Upcoming · 15 Jun 2027
Developing a model for a Data Lab for Science linking with EOSC and RAISE (RAISE pilot) (CSA)HORIZON-RAISE-2027-01-04Open · 2 Feb 2027
International cooperation in AI (IA)HORIZON-CL4-2027-04-DIGITAL-EMERGING-06Upcoming · 18 Mar 2027
Connecting research infrastructures and a wider user community across the European Research Area through access to advanced research infrastructure servicesHORIZON-INFRA-2027-SERV-01-03Upcoming · 15 Jun 2027

Who won this call

Projects the EU funded under this call, with the organisation that led each one.

FLUID-AIFAIR Liquidity Unifying Interoperable Data and AI
Led by Agencia Estatal Consejo Superior de Investigaciones Cientificas · Spain · 2026 · Official record ↗
€7.5M
AI4SOCIALPLUSAI Readiness for Social Impact
Led by Barcelona Supercomputing Center Centro Nacional de Supercomputacion · Spain · 2026 · Official record ↗
€7.5M

Who wins calls like this

Based on projects the EU funded on the same subject in this programme.

Who leads the winning projects

Research centres80%
Universities20%

€7.5Mtypical EU grant per project

Most common lead countriesSpain, France, Italy, United Kingdom, Slovenia

Projects funded on similar topics

GenAI4EarthGenerative Artificial Intelligence for Earth System
HORIZON-INFRA-2025-01-EOSC-05 · 2026 · Official record ↗
€10.0M
ELEXAIEuropean Lexicographic Infrastructure for Artificial Intelligence
HORIZON-INFRA-2025-01-DEV-03 · 2026 · Official record ↗
€4.0M
Fragment-ScreenFrom fragments to high affinity binders interfacing integrated structural biology, medicinal chemistry and artificial intelligence
HORIZON-INFRA-2022-TECH-01-01 · 2023 · Official record ↗
€8.3M
AI4EOSCArtificial Intelligence for the European Open Science Cloud
HORIZON-INFRA-2021-EOSC-01-04 · 2022 · Official record ↗
€5.0M
ARTEMISApplying Reactive Twins to Enhance Monument Information Systems
HORIZON-INFRA-2024-TECH-01-04 · 2025 · Official record ↗
€11.6M
AI4LIFEArtificial Intelligence for Image Data Analysis in the Life Sciences
HORIZON-INFRA-2021-SERV-01-06 · 2022 · Official record ↗
€4.1M
DIGITAfricaDIGITAfrica, Towards a comprehensive pan-African research infrastructure in Digital Sciences
HORIZON-INFRA-2024-DEV-01-02 · 2025 · Official record ↗
€1.5M
ODISSEEOnline Data Intensive Solutions for Science in the Exabytes Era
HORIZON-INFRA-2024-TECH-01-01 · 2025 · Official record ↗
€8.3M

Organisations that keep winning here

Each one links to its EU funding record and the partners it works with: a starting list for building a consortium.

What this call funds

Expected Outcome

Project results are expected to contribute to the following outcomes:

EOSC will be advancing AI-readiness and Machine-Actionability (MA) in the ecosystem by offering AI-ready federated infrastructure and easy-to-use platform services for EOSC, in order to respond to one of the main challenges of research infrastructures for AI in science, namely the lack of interoperability between AI/ML solutions.
EOSC will focus on integrating machine-actionable repositories within the ecosystem and demonstrating their reliability and effectiveness by collaborating with repository owners and service providers to implement MA tools and protocols, ensuring seamless integration with the EOSC EU Node.

Scope

Today, the sustainable FAIRification of data can be a bottleneck towards the goal of a European web of FAIR data and services. The use of AI/ML can significantly help in the process of FAIRification, data curation and data quality assurance, close to the source of the data. EOSC shall promote actions that give incentives to further advance AI-readiness and Machine-Actionability in the EOSC federation for FAIRification and to support their application.

European researchers need access to compute and repository services to develop, train and validate AI/ML models, in line with the GenAI4EU initiative and other key initiatives, like the Apply AI strategy, based on AI-ready research data from research infrastructures and third-party repositories. The proposed infrastructures should complement the EOSC EU Node capacity and be able to scale to a large number of users within transnational access to high-value datasets from national and European Research Infrastructure and e-Infrastructure ecosystems.

AI-based assistance tools shall be customised and trained for the discovery and composition of open science resources into custom workflows allowing researchers to discover and interact with open science infrastructures, combining relevant data, software and application assets.

Open Data and Open Research Software are essential for reliable, trustworthy, and transparent AI/ML. They ensure that datasets and algorithms are well documented, accessible, and reproducible, enabling others to validate and understand AI/ML algorithms. This transparency fosters trust, supports ethical standards, and ensures compliance with regulations, particularly important in the field of AI/ML.

The proposals should focus on all following aspects:

Develop and prototype tools to drive machine-actionability in repositories, data, and services, establishing a network of trusted repositories linked to the EOSC EU Node; • formulate open protocols and policies to facilitate effortless data access, transfer, processing, and provenance updates within EOSC's repository and service network;
deliver AI-based capabilities to make interoperable AI/ML solutions and facilitate the setup of custom workflows for research data processing;
offer tools/services for automatic quality measures of inputs and outputs of the AI/ML models.

Provide federated infrastructure services for serving AI models integrating horizontal and thematic EOSC nodes: • ensure capacities for AI model retraining and inference;
take into account the whole research data life cycle, including raw data retention before AI modelling.

Provide access to an easy-to-use technology platform offering reference implementations and recipes to quickly get started working with AI/ML with limited engineering overhead: • promote and apply state-of-the-art AI/ML operational best practices;
validate reference implementations and share commonly used recipes within EOSC.

Establish and/or provide access to existing AI/ML model repositories and services to serve models for retraining of generic models for specific needs for future predictions and reproducibility: • create AI/ML model repository and enhance FAIRness of existing AI/ML models;
offer services for utilisation of these models, including fine-tuning and inference, thus providing the foundational building blocks for the development of AI applications in EOSC.

Establish an EOSC AI/ML competency centre for the pooling of expertise and coordinated support on AI/ML use of data, compute infrastructure and AI/ML models for the upskilling and technical support of EOSC users and research operators, as a strategic asset that will enable a new paradigm for science production.

The proposers should take into account and leverage on the results of relevant projects in the field, including EOSC Data Commons[1], and the other initiatives and projects contributing to the development of EOSC, especially in the area of machine-actionability and data FAIRification.

This topic implements the co-programmed European Partnership for the European Open Science Cloud.

null

Activities are expected to start at TRL 4 and achieve TRL up to 6 by the end of the project – see General Annex B.

[1] EOSC Data Commons, Grant agreement ID: 101188179 https://cordis.europa.eu/project/id/101188179

Eligibility & conditions+

General conditions

1. Admissibility Conditions: Proposal page limit and layout

described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

2. Eligible Countries

described in Annex B of the Work Programme General Annexes.

A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.

3. Other Eligible Conditions

Subject to restrictions for the protection of European communication networks.

The Joint Research Centre (JRC) may participate as member of the consortium selected for funding.

described in Annex B of the Work Programme General Annexes.

4. Financial and operational capacity and exclusion

described in Annex C of the Work Programme General Annexes.

5a. Evaluation and award: Award criteria, scoring and thresholds

are described in Annex D of the Work Programme General Annexes.

5b. Evaluation and award: Submission and evaluation processes

The following additions to the general award criteria apply: The extent to which the proposed work incorporates the necessary coordination efforts and resources with other relevant projects and the EOSC governance structure in the context of the EOSC Partnership will be taken into account for Impact.

are described in Annex F of the Work Programme General Annexes and the Online Manual.

5c. Evaluation and award: Indicative timeline for evaluation and grant agreement

described in Annex F of the Work Programme General Annexes.

6. Legal and financial set-up of the grants

Beneficiaries will be subject to the following additional access rights:

Each beneficiary must grant royalty-free access to its results to the EOSC Association for monitoring and developing policies and strategies for the European Open Science Cloud. Each beneficiary must also provide directly to the EOSC Association the information the beneficiary deems necessary for monitoring and developing policies and strategies for the European Open Science Cloud.
Each beneficiary must grant royalty-free access to its intellectual property rights which are part of the results and are needed for further developing the European Open Science Cloud to legal entities identified by the granting authority and established in Member States or countries associated to the Horizon Europe Framework Programme. Such access rights are limited to non- commercial use.

Beneficiaries must deposit the digital research data generated in the action in a trusted repository federated in the European Open Science Cloud (EOSC) in compliance with EOSC requirements.

Eligible costs will take the form of a lump sum as defined in the Decision of 7 July 2021 authorising the use of lump sum contributions under the Horizon Europe Programme – the Framework Programme for Research and Innovation (2021-2027) – and in actions under the Research and Training Programme of the European Atomic Energy Community (2021-2025). [[This decision is available on the Funding and Tenders Portal, in the reference documents section for Horizon Europe, under ‘Simplified costs decisions’ or through this link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ls-decision_he_en.pdf]].

Grants awarded under this topic will be linked through collaboration agreements to the grants from the following action:

HORIZON-INFRA-2025-01-EOSC-05: Using Generative AI (GenAI4EU) for Scientific Research via EOSC.

described in Annex G of the Work Programme General Annexes.

Specific conditions

described in the specific topic of the Work Programme

Application and evaluation forms and model grant agreement (MGA):

Application form templates — the application form specific to this call is available in the Submission System

Standard application form (HE RIA, IA)

Standard application form (HE CSA)

Evaluation form templates — will be used with the necessary adaptations 

Standard evaluation form (HE RIA, IA) 

Standard evaluation form (HE CSA) 

Guidance

HE Programme Guide 

Model Grant Agreements (MGA)

HE MGA 

HE Unit MGA 

Lump Sum MGA 

Operating Grants MGA 

Framework Partnership Agreement FPA 

Call-specific instructions 

Detailed budget table (HE LS) 

Information on financial support to third parties (HE) 

Information on clinical studies (HE) 

Guidance: "Lump sums - what do I need to know?"

Additional documents:

HE Main Work Programme 2025 – 1. General Introduction

HE Main Work Programme 2025 – 3. Research Infrastructures

HE Main Work Programme 2025 – 14. General Annexes

HE Programme Guide

HE Framework Programme 2021/695

HE Specific Programme Decision 2021/764 

EU Financial Regulation 2024/2509

Decision authorising the use of lump sum contributions under the Horizon Europe Programme

Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment 

EU Grants AGA — Annotated Model Grant Agreement 

Funding & Tenders Portal Online Manual 

Funding & Tenders Portal Terms and Conditions 

Funding & Tenders Portal Privacy Statement

Official source

Confirm the current call documents and submission conditions with the funding authority.

View on EU portal ↗

Source: EU Funding & Tenders Portal · synced 2026-11-09

Who wins calls like this

Based on projects the EU funded on the same subject in this programme.

Who leads the winning projects

Research centres80%
Universities20%

€7.5Mtypical EU grant per project

Most common lead countriesSpain, France, Italy, United Kingdom, Slovenia

Projects funded on similar topics

GenAI4EarthGenerative Artificial Intelligence for Earth System

HORIZON-INFRA-2025-01-EOSC-05 · 2026 · Official record ↗

€10.0M

ELEXAIEuropean Lexicographic Infrastructure for Artificial Intelligence

HORIZON-INFRA-2025-01-DEV-03 · 2026 · Official record ↗

€4.0M

Fragment-ScreenFrom fragments to high affinity binders interfacing integrated structural biology, medicinal chemistry and artificial intelligence

HORIZON-INFRA-2022-TECH-01-01 · 2023 · Official record ↗

€8.3M

AI4EOSCArtificial Intelligence for the European Open Science Cloud

HORIZON-INFRA-2021-EOSC-01-04 · 2022 · Official record ↗

€5.0M

ARTEMISApplying Reactive Twins to Enhance Monument Information Systems

HORIZON-INFRA-2024-TECH-01-04 · 2025 · Official record ↗

€11.6M

AI4LIFEArtificial Intelligence for Image Data Analysis in the Life Sciences

HORIZON-INFRA-2021-SERV-01-06 · 2022 · Official record ↗

€4.1M

DIGITAfricaDIGITAfrica, Towards a comprehensive pan-African research infrastructure in Digital Sciences

HORIZON-INFRA-2024-DEV-01-02 · 2025 · Official record ↗

€1.5M

ODISSEEOnline Data Intensive Solutions for Science in the Exabytes Era

HORIZON-INFRA-2024-TECH-01-01 · 2025 · Official record ↗

€8.3M

Organisations that keep winning here

Each one links to its EU funding record and the partners it works with: a starting list for building a consortium.

What this call funds

Expected Outcome

Project results are expected to contribute to the following outcomes:

EOSC will be advancing AI-readiness and Machine-Actionability (MA) in the ecosystem by offering AI-ready federated infrastructure and easy-to-use platform services for EOSC, in order to respond to one of the main challenges of research infrastructures for AI in science, namely the lack of interoperability between AI/ML solutions.
EOSC will focus on integrating machine-actionable repositories within the ecosystem and demonstrating their reliability and effectiveness by collaborating with repository owners and service providers to implement MA tools and protocols, ensuring seamless integration with the EOSC EU Node.

Scope

The proposals should focus on all following aspects:

Develop and prototype tools to drive machine-actionability in repositories, data, and services, establishing a network of trusted repositories linked to the EOSC EU Node; • formulate open protocols and policies to facilitate effortless data access, transfer, processing, and provenance updates within EOSC's repository and service network;
deliver AI-based capabilities to make interoperable AI/ML solutions and facilitate the setup of custom workflows for research data processing;
offer tools/services for automatic quality measures of inputs and outputs of the AI/ML models.

Provide federated infrastructure services for serving AI models integrating horizontal and thematic EOSC nodes: • ensure capacities for AI model retraining and inference;
take into account the whole research data life cycle, including raw data retention before AI modelling.

Provide access to an easy-to-use technology platform offering reference implementations and recipes to quickly get started working with AI/ML with limited engineering overhead: • promote and apply state-of-the-art AI/ML operational best practices;
validate reference implementations and share commonly used recipes within EOSC.

Establish and/or provide access to existing AI/ML model repositories and services to serve models for retraining of generic models for specific needs for future predictions and reproducibility: • create AI/ML model repository and enhance FAIRness of existing AI/ML models;
offer services for utilisation of these models, including fine-tuning and inference, thus providing the foundational building blocks for the development of AI applications in EOSC.

Establish an EOSC AI/ML competency centre for the pooling of expertise and coordinated support on AI/ML use of data, compute infrastructure and AI/ML models for the upskilling and technical support of EOSC users and research operators, as a strategic asset that will enable a new paradigm for science production.

This topic implements the co-programmed European Partnership for the European Open Science Cloud.

null

Activities are expected to start at TRL 4 and achieve TRL up to 6 by the end of the project – see General Annex B.

[1] EOSC Data Commons, Grant agreement ID: 101188179 https://cordis.europa.eu/project/id/101188179

Advancing AI-readiness and Machine-Actionability in the EOSC Ecosystem

Open now: calls like this one

Who won this call

Who wins calls like this

Projects funded on similar topics

Organisations that keep winning here

What this call funds

Expected Outcome

Scope

General conditions

Specific conditions

Official source

Get told when calls like this open.

Advancing AI-readiness and Machine-Actionability in the EOSC Ecosystem

Open now: calls like this one

Who won this call

Who wins calls like this

Projects funded on similar topics

Organisations that keep winning here

What this call funds

Expected Outcome

Scope

General conditions

Specific conditions

Official source

Get told when calls like this open.