Obiettivo
Entocycle produce insect-based protein to sustainably supply feed to the aquaculture and livestock industries, replacing environmentally destructive fish and soya meals. Diet shifts and rising populations to 9.5 billion, by 2050, will see meat and fish demand increase by over 70% globally. Agri-food industries need a new sustainable source of protein as current methods of protein feed production will fall short by 60 million tonnes by 2030. Technology for automation of insect-protein production is a key industry priority as current rearing methods are not conducive to industrial scale production. Entocycle combines 150 million years of natural R&D perfection with high tech engineering to mass produce H. illucens, revolutionising the industrial production of insect-protein. Entocycle is building on expertise in H. illucens life cycle optimisation, developing the proprietary technology to efficiently breed and raise the insects in automated modular units, utilising Machine Learning and AI capabilities through partnerships with IBM and the European Space Agency. Entocycle will provide a high quality insect-protein feed to the aquaculture and livestock sector through the bioconversion of organic waste from agri-food industries, 88 million tonnes of which are created annually in Europe alone. Entocycle’s technology converts waste treatment costs into new revenue streams, producing lipids, chitin and fertilizer as by-products. Having partnered with Tesco, Entocycle has secured a direct route to market within their supply chain. During the Phase 1 feasibility study Entocycle will 1) Optimise breeding chamber production efficiency with IBM’s I.o.T machine learning and AI platforms 2) Develop an IP portfolio, commercialisation and marketing strategies 3) Recruit further industry partners and strengthen strategic relationships 4) Further business plan and industrial feasibility. These are the key steps needed to progress Entocycle to the its next stage of industrialisation.
Campo scientifico
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.
- agricultural sciencesagriculture, forestry, and fisheriesfisheries
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processes
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- agricultural sciencesanimal and dairy sciencedomestic animalsanimal husbandryanimal feed
Programma(i)
- H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy Main Programme
- H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
- H2020-EU.3.2.1. - Sustainable agriculture and forestry
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-1-2016-2017
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
SE1 2ES London
Regno Unito
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.