Digital & Collaborative Solutions for Innovative Manufacturing Ecosystems, Flexible Production Systems for Competitive Manufacturing, Human-machine Co-working for Socially Sustainable Manufacturing, Low Environmental Footprint Systems & Circular Economy for Green Manufacturing
UPDATE! The EIT Manufacturing Call 2024 guidelines have been updated on 1st June 2023. Use always the latest version of the guidelines available!
EIT Manufacturing is looking for projects and organisations ready to transform the European manufacturing and meet the global demands of present and future generations by achieving:
Flexible Production Systems for Competitive Manufacturing. Emerging technologies enable almost limitless product design and production flexibility, allowing full customisation.
Low Environmental Footprint Systems & Circular Economy for Green Manufacturing. Using new technologies to minimise use of resources, energy, and material in production systems to enable new circular business models.
Digital & Collaborative Solutions for Innovative Manufacturing Ecosystems. Collaboration and business on digital platforms and value networks enable companies to create new and highly efficient value chains.
Human-machine co-working for socially sustainable manufacturing. Smart use of automation and robots enables great workplaces, flexible production, and sustainable human work.
In the context of this call – and selected activities will be part of the Business Plan 2023-2025 – we are looking for proposals for innovation activities on:
Topic 1: Optimising production processes and increasing resources efficiency through digital solutions
Topic 2: Socially sustainable and human-centric manufacturing
Topic 3: Environmentally sustainable manufacturing through circular business models and new technologies
Key Dates
3rd April 2023: Call guidelines publication
18th April 2023, 10:00 CEST: Call Opens
18th April 2023, 13:00 CEST: Call online info-day
27-28th April 2023: Physical Matchmaking event
1st June 2023, 12:00 CEST: Q&A session about financial sustainability
19th June 2023, 17:00 CEST: Call closes
By 22nd June: Eligibility and admissibility check:
During July 2023: Evaluation of proposals:
By 1st August 2023: Communication of results
1st January 2024: Selected activity starting date
Info Day + Q&A session recordings and slides set
To get familiar with the call-specific requirements on the preparation and submission of your proposal, you can watch the recordings of our online Info day that was held on Agora (our community online platform) on 18th April 2023 and the Q&A session on Financial Sustainability of 1st June 2023.
Any legal entity, regardless of its place of establishment, including legal entities from non-associated third countries or international organisations is eligible to participate (whether it is eligible for funding or not).
Please check carefully the specific admissibility and eligibility conditions in 5.1 and 5.2 of the call guidelines.
You do not have to be an existing partner of EIT Manufacturing to apply for funding. Entities of selected proposals will asked to be part of the EIT Manufacturing community and choose one of the available partnership models.
How to participate?
The call is now open! Proposals can be initiated, prepared and submitted through our online submission tool from the 18th April 2023, 10:00 CEST until the 19th June 2023, 17:00 CEST.
New Organization? Register here to the submission tool
A total of 35 proposals were submitted in response to this Call for Innovation Proposals
The evaluation of the proposals took place from June to August 2023. Applicants were informed about the outcome of the evaluations in August 2023.
The successful proposals completed the conditions negotiation phase and started the activity with EIT Manufacturing in January 2024.
More information on the selected activities is provided here below:
Predictive Q+ is an advanced software platform for streamlined production processes. Originating from the automotive and steel wire industries, it serves as a comprehensive process control station, monitoring, detecting, and predicting operational and quality issues. Developed in collaboration with industry partners and powered by AI, it offers tools for detailed analytics, disruption prediction, and optimization, enhancing quality and resource efficiency. Its versatile interface accommodates diverse data sources, catering to any manufacturing enterprise.
Participants of the Call:
Tec Eurolab
PredictiveDataScience
NV Bekaert SA
Innovaplast Biotechnology
Total Cost: € 736.500
EIT Contribution: € 515.539
AIDIP proposes an integrated solution that combines data gathered from heterogeneous data sources, including logistics and shop floor scheduling. By leveraging advanced techs such as DataSpaces and AI-driven algorithms, AIDIP aims to enhance visibility, optimize decision-making, and improve resource utilization in High-mix-low-volume (HMLV) production environments.
Participants of the Call:
Beko Europe management emea srl
Cefriel
LexaTexer – Enterprise AI
Diversey
Total Cost: € 749.250
EIT Contribution: € 524.471
The activity will provide a data-driven solution that predicts manufacturing energy consumption rate and renewable energy yield with high accuracy to support organizations in orchestrating production schedules.
Participants of the Call:
University College Dublin
voestalpine High Performance Metals GmbH
Bonfiglioli
Bright Cape
Croom Precision Medical
Swinkels family brewers
Total Cost: € 857.400
EIT Contribution: € 600.000
In industrial settings, challenges arise from undefined performance indices, limited sensor availability, and complexity in defining objective functions. Expert operators play a crucial role in optimizing processes, and the HCP-bO project utilizes preference-based optimization algorithms to leverage their expertise, allowing any operator to intuitively transfer knowledge to machines or robots during the optimization process.
Participants of the Call:
University of Applied Sciences and Arts of Southern Switzerland
Santer Reply SpA
Industry Innovation Cluster
Tec Eurolab
Smartzavod UA LLC
Total Cost: € 1.020.000
EIT Contribution: € 580.740
SUPER HUMAN project aims to industrialize, test, validate, and assess an underactuated hip-low back exoskeleton for labor applications, assisting the workers, starting from existing designs (at TRL 6).
Participants of the Call:
MC Shared Services, SA
Modelo Continente – MCH
University of Applied Sciences and Arts of Southern Switzerland
BONFIGLIOLI RIDUTTORI
ART-ER
CTAG – Automotive Technology Center of Galicia
GOGOA Mobility Robots, S.L.
Total Cost: € 1.680.000
EIT Contribution: € 377.855
VRSafe aims to create a safer workplace by introducing a virtual industrial environment for training operators in safety related processes. By using virtual reality (VR), trainees become more equipped to handle hazardous situations effectively.
Participants of the Call:
Brembo
CASP
CALPAK
Kilometro Rosso
TEACHING FACTORY COMPETENCE CENTER AMKE
Pilz GmbH & Co. KG
Total Cost: € 556.880
EIT Contribution: € 387.374
AI Industrial Analytics will develop, test and launch products and services that empower shop floor workers of all skill sets to make informed, smart decisions at speed. It aims to accomplish the following objectives: (1) improve manufacturing processes through the creation of a digital twin of the production line and manufacturing processes, (2) foster human and machine collaboration by actively engaging shop floor workers in AI processes, and (3) make manufacturing attractive to young people and innovative technologies accessible to workers of all ages and skill sets.
Participants of the Call:
BIBA
Beko Europe management emea srl
Dana Italia s.r.l.
smartFAB
BIC VIOLEX Single Member S.A.
Goodyear S.A.
Total Cost: € 847.760
EIT Contribution: € 593.423
STILFOLD have developed and patented a disruptive industrial origami manufacturing process, where through computational design & automation, and robotics, STILFOLD can design and manufacture sustainable products reducing cost and environmental impact.
Participants of the Call:
MAGNA COSMA
STILRIDE
ADAXIS
Polestar
Total Cost: € 816.540
EIT Contribution: € 569.235
TraceCO2 primary goal is launching a European lighthouse initiative that empowers secure and efficient Product Carbon Footprint (PCF) accounting practices supporting the needs and characteristics of the steel industry. This includes a digital platform, aiming to facilitate reliable emissions data sharing and reduce ownership costs.
Participants of the Call:
Chalmers Industriteknik
voestalpine High Performance Metals GmbH
TEACHING FACTORY COMPETENCE CENTER AMKE
Sidenor Steel Industry S.A.
ChainTraced
Total Cost: € 921.200
EIT Contribution: € 599.092
The EH-IOT project is a collaborative effort to qualify and commercialize a groundbreaking technology for self-powered sensor devices – integrating novel energy harvesting, energy storage and wireless signal transmission systems. The patented technology developed by the leading partner, TEGnology, will enable manufacturers to introduce circular economy into their businesses for the very first time.
Participants of the Call:
University of Trento
TEGnology ApS
Alfa Laval Copenhagen A/S
ADSR Ltd.
Azitek
EET – Efficient Energy Technology GmbH
Dipl.Phys. Peer Stritzinger GmbH
Total Cost: € 893.890
EIT Contribution: € 599.100
RIFLEX is a solution that allows to develop off-the-shelf, template-based robotic solutions for palletizing, machine tending, and pick&place applications, that can be set up and configured by the user in under 15 minutes.
EIT Manufacturing’s main goal is to bring European stakeholders focused on manufacturing together in innovation ecosystems that add unique value to European products, processes and services and inspire the creation of globally competitive and sustainable manufacturing. EIT Manufacturing brings together more than 80 members (universities, research institutes and businesses).
