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Call key data
Data Space for Manufacturing
Funding Program
Digital Europe
Call number
DIGITAL-2026-DSM-AI-09-DS-MANUFACTUR-STEP
deadlines
Opening
04.11.2025
Deadline
03.03.2026 17:00
Funding rate
50% (SME:75%)
Call budget
€ 9,000,000.00
Estimated EU contribution per project
between € 3,000,000.00 and € 3,500,000.00
Link to the call
Link to the submission
Call content
short description
Aligned with the previous WP, this action aims to support the continued uptake and further expansion of the data space for manufacturing. The primary objective is to develop legal, technical and business solutions to pool sufficient data and enable authorized AI developers to have direct or indirect data access to train generative AI models specifically for the manufacturing sector, including applications in AI-powered robotics. This initiative seeks to reinforce the role of the data space for manufacturing as a major productivity enhancement and collaboration mechanism within the EU.
Call objectives
This initiative will support up to three data-collection projects, with around EUR 3 million co-funding from Digital Europe each, focused on manufacturing use cases to unlock advanced AI models, for example, product design, engineering and lifecycle management, manufacturing process automation with AI-powered cyber-physical systems, robots and automatic machinery, holistic optimization of manufacturing processes and supply chain management building on digital twins and industrial metaverse. These projects aim to collect massive, high-quality data from real industrial environments, ensuring proper labelling where relevant, that could be used to train or finetune generative AI models for the manufacturing sector. Data may include all kinds of information needed by the targeted manufacturing application use-cases; such as but not limited to technical and commercial documents written in natural language, business process models, factory models, manufacturing resources and tools, CAD/CAM/CAE models, bills of materials, inventory levels, customer orders, EDI-ODETTE messages, process plans, routing sheets, CNC, PLC and robot programs, MTM analyses, images, sensor data. The data collection has to be relevant for developing AI applications that can significantly benefit major EU manufacturing sectors (such as automotive, chemical, aeronautics and energy-intensive industries). The project proposal has to clearly identify the target sectors, the stakeholders, and have preliminary agreements about the intended data exchange.
The data-collection projects will develop both technical and business solutions to enable authorized AI developers to have direct or indirect data access and utilize these large datasets while fully respecting the data holders' control over their data.
Each data-collection project should propose clear use cases to ensure alignment with real-world needs and challenges. Ideally, the AI developers interested in using such data should be already identified in the proposal.
The proposal will also ensure technical and legal solutions to make the generated datasets available to users of AI Factories. This will also enable AI Factories to leverage these datasets for the development of AI applications. To this extent, the inclusion of AI Factories in the project will be considered an advantage.
Consortia are encouraged to use data intermediaries, as outlined in Chapter III of the Data Governance Act, or other appropriate mechanisms to manage the secure access to and processing of these datasets.
The initiative must also work in close partnership with the Data Spaces Support Centre to ensure alignment and interoperability with the broader ecosystem of data spaces implemented with the support of the Digital Europe Programme. Additionally, the action must coordinate with AI Factories to ensure that the datasets generated can be effectively used in conjunction with data already available facilitating in this way collaborative approaches for the development of advanced AI models.
Proposals under this call are expected to establish synergies with projects funded under HORIZON-CL4-2025-03-DIGITAL-EMERGING-07. In addition, coordination with HORIZON-CL4-2025-03-HUMAN-18 ("GenAI4EU central Hub") is strongly expected.
Considering financial sustainability from the outset is crucial in the development of Common European Data Spaces to ensure their long-term viability and effectiveness. By establishing a sound financial model, developers can secure the resources necessary to adapt to evolving technological landscapes and user needs, ensuring that data spaces remain robust and beneficial over time.
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Expected effects and impacts
KPIs to measure outcomes and deliverables
The proposal must propose a set of specific, measurable, achievable, relevant and time-bound KPIs to measure the outcomes and deliverables of the project. These KPIs may be related to:
- the amount and the quality of the collected data,
- the usage of these data for training AI models and developing AI-based solutions for manufacturing application uses cases,
- the technology readiness levels of the proposed solutions for data collection and exploitation,
- the technology readiness levels of the targeted AI-based manufacturing application use-cases,
- the involvement of all relevant stakeholders; such as but not limited to: data providers, manufacturing application end-users, use-case application developers, integrators engaged in the project,
- share of SMEs among data providers and data users,
- the deployment of resources,
- the scientific technical and economic impact of the project,
- the sustainability of the action, after the end of the EC funding.
Targeted stakeholders
All entities, with a focus on manufacturing SMEs and mid-caps, IT companies and integrators. The consortium will include data suppliers, data users, as well as any other organisation (such as data brokers, data stewards, data integrators, trusted data intermediaries) participating in data aggregation and governance activities
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Expected results
The awarded proposals are expected to deliver:
- Identification and analysis of real AI application use cases in manufacturing environments with high economic impact targeted by each project and qualification of their data needs.
- Solutions that allow the collection of large, high-quality data from real industrial environments, from different manufacturing systems/sectors.
- Solutions that allow access to these large datasets to train Generative AI models that respond to real-world industrial needs and challenges, preferably relying on trusted third parties hosting data and training compute on behalf of authorized AI developers.
- Agreements with specific AI factories providing information on the data sets available and the conditions for using them for training AI models.
- Interoperability and governance framework of manufacturing data spaces including from national industrial data spaces to ensure that mechanisms to aggregate data for training AI could be taken up at EU level.
- Recommendations for widening the adoption, improvement and/or extension of existing technical standards and open-source middleware aiming at facilitating data communication and interoperability for the identified manufacturing application use cases, for example but not limited to ISO 10303 (STEP), ISO 6983 (G code), EDI ODETTE, IEC 61784/61158 (Profinet), IEC 61491, EN 61491, IEC 61800-7, IEC 61784, and IEC 61158 (SERCOS), ISO/IEC 19500 (CORBA), ISO 23247 (manufacturing digital twins), GPSS and ROS-Industrial.
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Eligibility Criteria
Regions / countries for funding
Iceland (Ísland), Liechtenstein, Norway (Norge), Switzerland (Schweiz/Suisse/Svizzera)
eligible entities
Education and training institution, Non-Profit Organisation (NPO) / Non-Governmental Organisation (NGO), Other, Private institution, incl. private company (private for profit), Public Body (national, regional and local; incl. EGTCs), Research Institution incl. University, Small and medium-sized enterprise (SME)
Mandatory partnership
Yes
Project Partnership
Proposals must be submitted by minimum 3 independent applicants (beneficiaries; not affiliated entities) from 3 different eligible countries.
In order to be eligible, the applicants (beneficiaries and affiliated entities) must:
- be legal entities (public or private bodies)
- be established in one of the eligible countries, i.e.:
- EU Member States (including overseas countries and territories (OCTs))
- non-EU countries (except for topics with restrictions; see below):
- listed EEA countries and countries associated to the Digital Europe Programme (list of participating countries)
Please note however that some topics are subject to restrictions due to security reasons. For this topic, only the following countries are eligible: EU Member States, EEA countries and Switzerland. Entities must not be directly or indirectly controlled from a country that is not an eligible country unless the granting authority agrees to allow for exceptional participation on the basis of a guarantee (ownership control restriction).
Financial support to third parties is not allowed.
Due to restrictions due to security, the proposals for this topic must relate to activities taking place in the eligible countries.
other eligibility criteria
Specific cases and definitions
Natural persons are NOT eligible (with the exception of selfemployed persons, i.e. sole traders, where the company does not have legal personality separate from that of the natural person).
International organisations are NOT eligible, unless they are International organisations of European Interest within the meaning of Article 2 of the Digital Europe Regulation (i.e. international organisations the majority of whose members are Member States or whose headquarters are in a Member State).
Entities which do not have legal personality under their national law may exceptionally participate, provided that their representatives have the capacity to undertake legal obligations on their behalf, and offer guarantees for the protection of the EU financial interests equivalent to that offered by legal persons.
EU bodies (with the exception of the European Commission Joint Research Centre) can NOT be part of the consortium.
Entities composed of members may participate as ‘sole beneficiaries’ or ‘beneficiaries without legal personality’. Please note thatif the action will be implemented by the members, they should also participate (either as beneficiaries or as affiliated entities, otherwise their costs will NOT be eligible).
Beneficiaries from countries with ongoing negotiations for participating in the programme (see list of participating countries above) may participate in the call and can sign grants if the negotiations are concluded before grant signature and if the association covers the call (i.e. is retroactive and covers both the part of the programme and the year when the call was launched).
Special rules apply for entities subject to EU restrictive measures under Article 29 of the Treaty on the European Union (TEU) and Article 215 of the Treaty on the Functioning of the EU (TFEU). Such entities are not eligible to participate in any capacity, including as beneficiaries, affiliated entities, associated partners, subcontractors or recipients of financial support to third parties (if any).
Special rules apply for entities subject to measures adopted on the basis of EU Regulation 2020/2092. Such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties, etc). Currently such measures are in place for Hungarian public interest trusts established under the Hungarian Act IX of 2021 or any entity they maintain (see Council Implementing Decision (EU) 2022/2506, as of 16 December 2022).
Additional information
Topics
Relevance for EU Macro-Region
EUSAIR - EU Strategy for the Adriatic and Ionian Region, EUSALP - EU Strategy for the Alpine Space, EUSBSR - EU Strategy for the Baltic Sea Region, EUSDR - EU Strategy for the Danube Region
UN Sustainable Development Goals (UN-SDGs)
project duration
36 months
Additional Information
Proposals must be complete and contain all the requested information and all required annexes and supporting documents:
- Application Form Part A — contains administrative information about the participants (future coordinator, beneficiaries and affiliated entities) and the summarised budget for the project (to be filled in directly online)
- Application Form Part B — contains the technical description of the project (template to be downloaded from the Portal Submission System, completed, assembled and re-uploaded)
Proposals are limited to maximum 70 pages (Part B).
Call documents
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