Description du projet
Des aliments de haute qualité optimisés grâce à l’intelligence artificielle
Les fabricants de produits alimentaires sont constamment à la recherche de recettes innovantes de haute qualité, sûres, savoureuses, saines et respectueuses de l’environnement. Il faut parfois jusqu’à deux ans et des centaines d’essais pour créer un nouveau produit alimentaire qui réponde à l’ensemble des exigences des consommateurs et des distributeurs tout en respectant les réglementations. Il convient donc de disposer d’un outil capable d’aider à optimiser la qualité, la sécurité, les impacts environnementaux et les valeurs nutritionnelles. Le projet OptiSignFood, financé par l’UE, développera une approche globale et intégrée pour prédire et optimiser la qualité des aliments, ainsi que leur apparence et leur sécurité. Rassemblant un consortium transnational d’experts en nutrition, en technologie alimentaire et en environnement issus de la recherche et de l’industrie, le projet a pour ambition de déployer la première solution de ce type sur le marché.
Objectif
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.
Champ scientifique
Programme(s)
Régime de financement
IA - Innovation actionCoordinateur
3003 Bern
Suisse