Physics-Informed AI platform for modeling of industrial cyber-physical systems

Project Information

Simularge

Grant agreement ID: 101071734

DOI

10.3030/101071734

Project closed

EC signature date 16 May 2022

Start date 1 June 2022

End date 30 November 2022

Funded under

• European innovation ecosystems

Total cost

No data

EU contribution

€ 75 000,00

Coordinated by

SIMULARGE BILISIM VE MUHENDISLIK TEKNOLOJILERI ANONIM SIRKETI
Türkiye

Periodic Reporting for period 1 - Simularge (Physics-Informed AI platform for modeling of industrial cyber-physical systems)

Reporting period: 2022-06-01 to 2022-11-30

Summary of the context and overall objectives of the project

Simularge innovative deep-tech solution combines physics-Informed AI platform for modelling of industrial cyber-physical systems to optimise the production operations, minimising the use of raw materials, optimising the quality of products, and will help detecting in-time defective raw materials and products.
Within Simularge Women TechEU project we aimed:
- To define features and specifications according to the specific needs of end-users;
- To undertake in-house testing and large-scale demonstrations under real operating conditions and identify the technical maturation activities to be implemented in the next phase of the project.
- To assess existing providers and contents to be directly embedded or further developed in Simularge to comply with the integration process;
- To assess requirements to grant Simularge proper use in the manufacturing sector.
- To Perform a market analysis to identify the EU countries that will mainly be the early adopters of Simularge;
- To map the supply and distribution chain, identifying and choosing upstream suppliers;
- To carry out a full market research study of the market, to assess user needs, demand and market size to ensure a swift market uptake;
- To formulate an exploitation and dissemination plan and to establish an optimal go-to market strategy.
- To carry out a full cost/benefit analysis, considering quality, standards and regulatory issues;
- To evaluate the total investment requirements to bring the product to the market;
- To update our financial projections for a 5-year period.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

We have performed the following activities:
- We have tested Simularge with our first test user to create a Digital Twin of a tyre curing process.
- We have evaluated the results from the tests (Technical results and potential improvements to qualify our system).
- We have performed FTO Analysis and list of requirements and competences for Simularge for EU Countries and Smart Manufacturing market.
- We have performed 3 Market Research Reports (Italy, Swiss, and Germany) with a focus on Industry 4.0 and innovation expertise.
- We have achieved all the project objectives declared and beyond, advancing our TRL from 5-6 to 7-8.
- We had workshop with the business coach, Marjaana Karjalainen from Dreamex Consulting (Italy) and training sessions within the WLP.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

- We have mapped our target market, customers and competitors
- Identified client needs for doing business, especially for the smart manufacturing market
- Identified key target early adopter customers in Turkey and EU
- Developed a Value Proposition
- Established a marketing & commercialisation strategy to increase the Simularge reputation & visibility in the smart manufacturing market. Started collaborative relationships with key cosmetics sector companies
- Identified and started dialogue with investors in Turkey and Europe
- Constructed the marketing and commercialisation strategy
Typically, after the first stage, customers will ask for a demonstration and verification of Validation of the technical performance of Simularge, Proof of reliability of supply, Understanding of the quality control procedures, and Establishing the necessary economic conditions.

Simularge