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AI-Powered Training in the Flow of Factory Work for Industry 5.0

Objective

"Built on 8+ years of research at University of Cambridge and 3+ years of technology development, FLOW-AI brings a human-centric, resilient, and compliant solution to the global need for the social, digital and sustainable industrial transformation. The project aims to empower factory workers with AI-enabled training and provide factory forecast capabilities.
The key objective is to finalise the development of the FLOW-AI platform, a Gen-AI-powered microlearning tool tailored to industrial needs. For factory workers, it provides personalised, intelligent training, unlocking opportunities for lifelong learning. The second objective is to reach TLR 8/9 by piloting the FLOW-AI platform in 15+ factories of European manufacturers by the end of the project.
Once launched, the platform will establish the missing layer of the industrial metaverse: augmentation technology (AT). AT provides factory managers with data-driven forecasts on factory efficiency and areas of potential improvement for each facility. This significantly boosts decision-making across the industry and simultaneously protects workers’ personal data, contributing to Europe’s industrial transition. Both the platform and the foundational Gen-AI model are developed in full compliance with EU regulations on data security, transparency and ethical AI, overcoming current issues related to non-EU-based AI solutions.
This project directly contributes to the objectives of the EIC Accelerator's ""Human-Centric Generative AI made in Europe"" challenge by addressing the need for human-centric AI technologies. Moreover, it aligns with the broader EU goals of fostering innovation in strategic areas, boosting Europe's industrial competitiveness, and supporting the social, digital and green transition. The project’s focus on empowering European factory workers with innovative AI tools strongly supports the EU’s efforts to enhance workforce skills, improve working conditions and reduce economic inequalities across industries."

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-EIC-ACC - HORIZON EIC Accelerator

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EIC-2024-ACCELERATOR-02

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Coordinator

AUGMENTED INDUSTRIES GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 410 624,14
Address
SANDSTRASSE 33
80335 MUNICH
Germany

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data
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