Ziel
17 million Europeans suffer from a food allergy, particularly children under 5 years old 1 . This is a
growing public health concern, as the hospital admissions for severe allergic reactions in children
increased 7 fold in the last 10 years 2 . 7 out of 10 allergic reactions occur when people eat outside from
their homes, including 20% of these happening in schools 3 . The European Food Information Council
has replaced 7 and amended 2 directives on nutrition, food safety and allergen labelling. As a result, it
is no longer possible for hotels, restaurants and caterings to provide information on dishes causing
allergies or intolerances only and simply upon request by the consumer. The information on 14
allergens must be provided in written form. The main challenges faced by companies providing guest-
friendly, multilingual and legally compliant food and beverage menus are the lack of (1) time, (2)
resources and (3) technical expertise.
Menutech is a Software as a service (SaaS) which automates the preparation of food menus: it
automates allergen declaration, menu translation and menu design leveraging machine learning
technologies powered by a rich database of dishes. The Menutech software, which is compliant with
EU FIC 1169/2011 regulation, comes with allergen information for thousands of common dishes, so
that Menutech’s customers can ensure that all allergens are adequately labelled with ease. At the
moment, the platform contains 16.000 translated dishes (DE, EN, IT, FR) and 6.000 dishes with
labelled allergens. Menutech has been developed by Menutech GmbH, a German company founded in
February 2017, which has already secured 12 clients (823 users) in Germany, Switzerland, Italy and
France.
Menutech seeks funding to conduct a feasibility study to prove technical and commercial viability,
conducting an analytical exercise to position the product.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- medical and health sciencesclinical medicineallergologyfood allergy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyother engineering and technologiesfood technologyfood safety
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-1
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
10119 BERLIN
Deutschland
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).