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Planning for industry partnerships in an international call HORIZON-CL4-INDUSTRY-2025-01-TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing (RIA)

Reference number
Coordinator Combient AB
Funding from Vinnova SEK 274 000
Project duration June 2025 - September 2025
Status Completed
Venture Global cooperation 2025
Call Planning grant for international proposal 2025

Important results from the project

The project did not meet its original objective to submit a proposal to the Horizon Europe call, as a coordinator could not be secured. The work resulted in three new tracks where the project idea and partnership were reused: 1) Proposal to Vinnova (DT-IT Digital Twins with Chalmers). 2) LoI with Business Finland and Aalto University to finance/establish a Swedish-Finnish Digital Twin-collaboration. 3) Positioning in a new Horizon Europe-konsortium.

Expected long term effects

The long-term effects are focused on strengthening Nordic industrial competitiveness. The project has established a Swedish-Finnish "digital twinning" structure to drive large-scale application of Digital Twins among industrial companies, leading to increased efficiency, interoperability and contributing to a sustainable transition. The positioning in the new Horizon-Europe-konsortiet also ensures a future entry for Swedish industrial needs into Europe´s leading research in AI and robotics.

Approach and implementation

The project ran over an intensive summer period, which required frequent meetings to develop an industrially driven project idea with academic and industrial partners. The collaboration went well, but external factors (ensuring coordinator for Horizon Europe-ansökan) made submission to the EU-call not possible. However, the project was successfully developed by re-channeling the results to three other applications (Vinnova, Business Finland, Horizon Europe) to enable continuations.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 17 October 2025

Reference number 2025-01441