Project description
A drag-and-drop modelling platform for industrial cyber-physical systems
Industrial manufacturing processes are complex and energy intensive. Errors may lead to tremendous amounts of material, water and energy waste not to mention reduced profitability. With increasing digitalisation of processes and the advent of Industry 4.0 and the Internet of Things, cyber-physical systems are becoming the norm. These systems integrate sensor networks with embedded computing into physical objects, connecting them to the internet and to each other for advanced monitoring and control. The Turkish SME Simularge has developed a patented, no-code physics-informed AI platform for modelling of industrial cyber-physical systems. The EU-funded Simularge project will provide mentoring and coaching to help the company bring its drag-and-drop builder to market.
Objective
Simularge aims to reduce the manufacturing waste within Europe and beyond. Industrial waste makes up at least 50% of global waste, and much of that waste is the result of poor-quality products from manufacturing processes. Simularge will help workers reduce waste and lower the cost of quality, as bad quality creates waste.
Simularge patent-pending deep-tech solution (WO2021118478) combines physics-Informed AI platform for modeling of industrial cyber-physical systems. It will optimize the production operations, minimize the use of raw materials, optimize the quality of products, and will help detecting in-time defective raw materials and products. The combination of these processes will contribute to reduce carbon footprint. Besides, by optimizing the energy usage and eliminating defected parts based reuse, a huge contribution will be made towards zero emission.
Simularge does not require any knowledge about a specific programming language as it is a No-Code platform, it includes mechanics, AI, and analytics for the developer GUI. The App Gui shows the different functionalities with warning and alerts such as (Optimum Pressure, Temperature, etc.). Then the set of parameters will apply to the machine that is part of the production and manufacturing process.
According to GMI3, the digital twin market size exceeded €4.2Bn in 2020, and it is expected to grow at over 35% CAGR between 2021 and 2027. We aim to target the smart manufacturing market, as we believe that our solution will be a perfect match and this programme will accelerate our business' reach. Simularge platform aims to reach €1M (ARR) within 2 years and €56M (ARR) within 5 years.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.2 - European innovation ecosystems
MAIN PROGRAMME
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Topic(s)
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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.
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-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIE-2021-SCALEUP-01
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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.
34906 ISTANBUL
Türkiye
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.