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Data Space for Manufacturing is sponsored by European Commission — Digital Europe Programme. Expected Outcome: Deliverables The awarded proposals are expected to deliver: 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. Objective: 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. This initiative seeks to reinforce the role of the data space for manufacturing as a major productivity enhancement and collaboration mechanism within the EU. Scope: 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, predictive maintenance, process automation, supply chain management, product design and development and sustainability in production, and increase productivity in industrial environments such as purchases, logistics, resource planning and production halls. 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. 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. Considering financial sustainability from the outset is crucia
Programme areas: DIGITAL
Keywords: Additive manufacturing / 3D printing, Big data, Data Security and Privacy, Data value chains, Laser-based manufacturing and materials processing, Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video), Manufacturing and processing, AI Factories, Train generative AI models, advanced AI models, increase productivity in industrial environments, predictive maintenance, process automation, product design, product design and development and sustainability in production, production halls, purchases, logistics, resource planning, supply chain management, STEP-Digital/deep tech
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EU Funding & Tenders Portal EU Funding & Tenders Portal * Results & Innovation support * SME Self-assessment tool Home Funding Calls for proposals Data Space for Manufacturing Data Space for Manufacturing DIGITAL-2026-DSM-AI-09-DS-MANUFACTUR-STEP * Conditions and documents * Partner search announcements Digital Europe Programme (DIGITAL) AI Continent (DIGITAL-2026-DSM-AI-09) DIGITAL-SME Digital SME Support Actions DIGITAL Action Grant Budget-Based [DIGITAL-AG] 03 March 2026 17:00:00 Brussels time The awarded proposals are expected to deliver: 1.
Solutions that allow the collection of large, high-quality data from real industrial environments, from different manufacturing systems/sectors. 2. 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.
3. Agreements with specific AI factories providing information on the data sets available and the conditions for using them for training AI models. 4.
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. 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. This initiative seeks to reinforce the role of the data space for manufacturing as a major productivity enhancement and collaboration mechanism within the EU.
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, predictive maintenance, process automation, supply chain management, product design and development and sustainability in production, and increase productivity in industrial environments such as purchases, logistics, resource planning and production halls.
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. 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. 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. The submission session is now available for: DIGITAL-2026-DSM-AI-09-DS-MANUFACTUR-STEP Topic conditions and documents #### 1.
Admissibility Conditions: Proposal page limit and layout described in section 5 of the call document. **Proposal page limits and layout:** described in Part B of the Application Form available in the Submission System. #### 2.
Eligible Countries described in section 6 of the call document. #### 3. Other Eligible Conditions described in section 6 of the call document.
#### 4. Financial and operational capacity and exclusion described in section 7 of the call document. #### 5a.
Evaluation and award: Submission and evaluation processes described section 8 of the call document and the Online Manual. #### 5b. Evaluation and award: Award criteria, scoring and thresholds described in section 9 of the call document.
#### 5c. Evaluation and award: Indicative timeline for evaluation and grant agreement described in section 4 of the call document. #### 6.
Legal and financial set-up of the grants described in section 10 of the call document.
#### Call document and annexes: **Application form templates** Standard application form (DEP) — the application form specific to this call is available in the Submission System Ownership control declaration **Model Grant Agreements (MGA)** #### Additional documents: EU Financial Regulation 2024/2509 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 | Topic | Budget (EUR) - Year : 2026 | Stages | Opening date | Deadline | Contributions | Indicative number of grants | | --- | --- | --- | --- | --- | --- | --- | | DIGITAL-2026-DSM-AI-09-DS-MANUFACTUR-STEP - DIGITAL-SME Digital SME Support Actions | 9 000 000 | Single-stage | 04/11/2025 | 03/03/2026 | around 9000000 | 3 | Partner search announcements **Searches of partners to collaborate on this topic** LEARs, Account Administrators or self-registrants can publish partner requests for open and forthcoming topics after logging into this Portal, as well as any user having an active public Person profile.
To access the Electronic Submission Service, please click on the submission-button next to the **type of action** and the **type of model grant agreement** that corresponds to your proposal. You will then be asked to confirm your choice, as it cannot be changed in the submission system. Upon confirmation, you will be linked to the correct entry point.
To access existing draft proposals for this topic, please login to the Funding & Tenders Portal and select the My Proposals page of the My Area section. **Please select the type of your submission:** Digital SME Support Actions [DIGITAL-SME], DIGITAL Action Grant Budget-Based [DIGITAL-AG] Topic Q&As**0** item(s) found Please read carefully all provisions below before the preparation of your application.
For help related to this call, please contact here Funding & Tenders Portal FAQ – Submission of proposals. IT Helpdesk – Contact the IT helpdesk for questions such as forgotten passwords, access rights and roles, technical aspects of submission of proposals, etc. Online Manual – Step-by-step online guide through the Portal processes from proposal preparation and evaluation to reporting on your ongoing project.
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According to the current listing, eligibility includes: Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: DIGITAL-SME Digital SME Support Actions. Additional conditions: "> Conditions 1. Admissibility Conditions: Proposal page limit and layout described in section 5 of the call document . Proposal page limits and layout: described in Part B of the Application Form available in the Submission System. 2. Eligible Countries described in section 6 of the call document . 3. Other Eligible Conditions described in section 6 of the call document . 4. Financial and operational capacity and exclusion described in section 7 of the call document . 5a. Evaluation and award:... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Confirm the full requirements in the official notice before applying.
The published deadline was March 3, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Data Space for Manufacturing is funded by European Commission — Digital Europe Programme. Verify program details on the funder's official page before applying.
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