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Public disbursements 2022

List of economic benefits received by public administration 2022
List of economic benefits received by public administration 2022
List of economic benefits received by public administration 2022

As provided for by Law 124/2017 (paragraphs 125 to 129) we publish on our site the list of economic benefits received from public administration or similar.

For the year 2022 we publish the following information:

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Receiving company: I.R.S. srl, CF 01419400286
Disbursing entity: POR FESR 2014-2020 Friuli Venezia Giulia RegionCollected amounts: 108818.64 Euro; 76173.05 Euro; 32645.59 EuroCollection date: 14/11/2022
Reason: Project TICheP: Innovative Technologies for Personalized ChemotherapyPersonalized FESR 2014-2020 Friuli Venezia Giulia Region. The project is related to the creation of an innovative technological frame-work for the developmentof personalized chemotherapy with reduced toxicity

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Receiving company: I.R.S. srl, CF 01419400286
Disbursing party: POR FESR 2014-2020 Regione Friuli Venezia Giulia Sums collected: 20404.00 Euro; 8744.57 Euro; 29148.57
Date of collection: 08/03/2022
Reason: New Digital Framework production project co-funded by theProgramma Operativo Regionale (POR) FESR 2014-2020 "Investimenti a favore dellacrescita e dell'occupazione" - Activity 1.2.A.1 - DGR No. 991/2020

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Receiving company: I.R.S. srl, CF 01419400286
Disbursing entity: POR FESR 2014-2020 Regione del VenetoCollected amount: 34211.22 Euro
Collection date: 17/11/2022
Reason: SAFE PLACE Project co-funded by POR FESR2014-2020 Regione del Veneto. The project created a modular solution, whichpermits to combine multiple services for prevention at COVID-19 in a modosynergistic manner, according to the specific needs of various use cases.

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Receiving company: I.R.S. srl, CF 01419400286
Disbursing party: POR FESR 2014-2020 Regione del VenetoCollected amount: 34211.22
Collection date: 08/04/2022
Reason: Premani Project co-funded by POR FESR 2014-2020 Regioneedel Veneto. The project is related to the design, development andimplementation of Digital Manufacturing solutions for Quality Prediction and Intelligent Maintenance