INFOS
INternationalisation of Veneto FOundry by networked Strategies
Smart Manufacturing
The project supports some of the companies within the SINFONET network in using high value services, assistance, orientation, coaching, information, and export promotion to promote not only their individual companies but also the overall foundry supply chain.
The project involves market analysis and technological scouting in the field of innovative cast irons. The partners identified some internationally important trade fairs (Euroguss in Nuremberg, Samumetal in Pordenone, Elmia Subcontractor in Jönköping) at which several marketing activities were conducted to promote and illustrate the Innovative Network and the foundry supply chain (hosting a stand, creation of a "SINFONET path", arranging dedicated seminars).
To support the internationalization of the network through the development and use of shared tools and methodologies.
EnginSoft coordinated the kick-off meeting, and the marketing activity plan, and participated in the EUROGUSS trade fair, the biggest international fair for Die Casting and Die Casting Processes.
EnginSoft | SAEN | LPM | Tecnolabor | Zanardi Fonderie
Funding Scheme POR - Obiettivo "Investimenti a favore della crescita e dell'occupazione" - Parte FESR fondo europeo di sviluppo regionale 2014 - 2020 | ERDF EUROPEAN DEVELOPMENT FUND 2014 - 2020
9 months
October 2017 - July 2018
RIR SINFONET
Nicola Gramegna
5
Some of our competences in research and technology transfer
Research project
The Smart Spaces Safety and Security for All Cities project (S4AllCities) is a large-scale project with the aim of revolutionizing the way smart cities become more prepared for and resilient against physical and cyber-attacks on their soft targets, smart spaces and critical infrastructure.
Research project
Obiettivo generale del progetto TECNOMED-HUB è quello di realizzare, sul territorio piemontese, una piattaforma tecnologica a supporto della ricerca medica 4.0, basata sull’integrazione delle piattaforme multi-omiche già presenti (ma facilmente implementabili ad altre tecnologie in futuro), con algoritmi di autoapprendimento, data mining e big data analytics.
