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OptiSignFood

Financiado

Data Science and AI assisted holistic software to digitally design optimised hig...

Data Science and AI assisted holistic software to digitally design optimised high quality and safe food products with minor environmental impact New food product development is still an inefficient, time-intensive and manual process based on an iterative laboratory approach. In the food design process, a multitude of parameter, e.g. consumer’s wishes, food safety, health r... ver más

30/06/2024

WBF

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

EIDGENOESSISCHES DEPARTEMENT FUER WIRTSCHAFT,... No se ha especificado una descripción o un objeto social para esta compañía.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-06-30

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

EIC-FTI-2018-2020: Fast Track to Innovation (FTI)

I+D

Cerrada hace 6 años

0% 75% 100%

8 Participantes

WBF

661.25K€ | Lider

TECNOVE FIBERGLASS

334.09K€ | Participante

INTBAU

278.25K€ | Participante

MIA & BEN GMBH

927.87K€ | Participante

Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 37 meses Fecha Inicio: 2021-05-07
Fecha Fin: 2024-06-30

Presupuesto del proyecto 4M€

Descripción del proyecto New food product development is still an inefficient, time-intensive and manual process based on an iterative laboratory approach. In the food design process, a multitude of parameter, e.g. consumer’s wishes, food safety, health requirements and environmental related needs, must be considered. It takes up to 24 months and 150 tests to create a new food product. We will overcome this challenge with a disruptive digital food design solution based on data science and AI. The OptiSignFood software will provide a holistic and integrated approach to predict and optimise food’s quality, appearance and safety based on reliable scientific data. OptiSignFood will be the first solution on the market able taking in consideration all aspects of food design. The AI based approach allows 85% more accurate predictions than competitors simple calculations. It saves manufacturers 90% of time in the food product design and helps achieving Green Deal and UN sustainable development goals by creating more sustainable and healthy food products selecting ingredients with same nutritional properties, but lower environmental impact, saving up to 98% CO2eq. We target 9.6% of serviceable available F&B companies and 9.4 M€ gross profit in 2027. The translational consortium combines nutrition, food technology and environmental expertise from the research and industry to foster the transfer of the innovative solution from the lab into a product that meets the customer needs: Mia & Ben (Berlin & London), a science led food manufacturing company, laid the foundation for OptiSignFood and develops the AI prediction models. Agroscope (Zürich) is one of the leading institutions for sustainability in the food chain and focuses on the concept to connect environmental and nutrition/health impacts. Metacognis (London) is specialised on life science and AI data mining. Pascal Processing (Helmond, NL) is a contract manufacturer and will contribute real data to the project and become the first industry user.

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