Obiettivo
The global smart kitchen market is expected to exceed $7 billion by 2020, and there is an increasing demand for easy and fast processing devices allowing the personalized preparation of healthier meals while achieving food waste reduction. Common kitchen appliances such as microwaves and regular ovens can only heat, while the capabilities of other blenders and food processors are mainly limited to combining ingredients. In order to give an answer to this demand, Natural Machines (NM) aims to develop FOODINIPRO, the first connected 3D printer that can use fresh ingredients for PRINTING & COOKING savoury and sweet foods. FOODINIPRO is a new product addressed to a B2C market, its ambition is to become the standard 3D Food Printer appliance for every home kitchen. For this reason, the main objectives of the project are:
• To upgrade current prototypes by integrating an innovative cooking system and improved artificial vision capabilities
• To validate FOODINIPRO through pilot tests with representative groups of users from at least 3 target market segments (people with special dietary needs, early adopters of technology and regular home users)
• To complete the required certification process for target markets (EU, USA, Asia)
• To upscale and adapt current manufacturing process to prepare mass-production • To develop a deep commercial plan to bring FOODINIPRO to the B2C market and meet sales targets
• To establish alliances with online sales channels and kitchen appliance brands
• To find a solution to scale-up the customer service and be ready for commercialization Considering the huge potential of its new product, NM’s target is to reach a 90% market penetration in 5 years. This great business opportunity will allow the company to grow in revenues (150M€ forecasted in 2020), staff (75 employees in 2020) and become the undisputed leader of the market.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificiale
- ingegneria e tecnologiaingegneria meccanicaingegnerizzazione dei prodotti
- scienze naturaliinformatica e scienze dell'informazionesoftware
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicasensorisensori ottici
- ingegneria e tecnologiaaltre ingegnerie e tecnologietecnologia alimentaresicurezza alimentare
È necessario effettuare l’accesso o registrarsi per utilizzare questa funzione
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-2
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
28009 MADRID
Spagna
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.