FEESH aims to revolutionize the aquaculture industry by creating a sustainable, nutrient-rich fish meal alternative made from Black Soldier Fly Larvae (BSFL). Traditional fish meal relies heavily on wild-caught fish and/or soy as a protein source for fish, both of which cause a number of environmental issues. Fishmeal production fuels overfishing practices which deplete marine ecosystems, while soy production drives intensive agricultural practices that drives deforestation, high water consumption, and emits GHG. Our vision is to address these critical issues surrounding aquafeed production, by creating a truly sustainable fish meal alternative that promotes resource efficiency, reduces reliance on environmentally impacting feed ingredients, and promotes a more circular economy, where in principle we can convert organic waste streams into a high protein source for fish.

Fenja gør det muligt at bruge AI sikkert i organisationer, hvor data er følsomme, driften er kritisk, og datasuverænitet er afgørende. Løsningen er udviklet til både offentlige myndigheder og virksomheder i regulerede brancher som pharma, kritisk infrastruktur og andre miljøer, hvor standard AI-løsninger i amerikansk ejede cloudplatforme ikke er et reelt valg. Mange ønsker at bruge AI, men kan ikke acceptere, at data, arbejdsgange og kritiske funktioner bliver afhængige af eksterne leverandører samt udenlandsk ejerskab og kontrol. Fenja løser dette ved at gøre kundehosted AI muligt i kundens egen infrastruktur, så data forbliver under fuld kontrol, og AI kan bruges med den sikkerhed, sporbarhed og dokumentation, markedet kræver. Det skaber et stærkt markedspotentiale i takt med, at behovet for digital suverænitet vokser i både den offentlige sektor og erhvervslivet. Samtidig kan Fenja skabe stor samfundsværdi ved at gøre AI anvendelig i de mest kritiske funktioner uden at gå på kompromis med sikkerhed. Innovationsfondens investering vil hjælpe os med at udvikle produktet, gennemføre pilotprojekter og skabe de første kundecases. På lang sigt er ambitionen at opbygge en førende dansk og europæisk platform for sikker, kontrolleret AI i regulerede miljøer.

Today’s automation by means of robots to a large extent relies on manual processes and case by case programming. Therefore, the establishment of automation solutions usually takes long time and requires high level engineering expertise that needs to be built up during extensive university educations as well as practical experience. This makes the process of deploying solutions slow and expensive. All together this severely limits how companies can adopt robotic solutions cost-efficiently. The aim of this project is to enable robot suppliers to develop products that can capture the knowledge embedded in already running automation solutions and make it available for fast engineering of new efficient automation solutions. The vision is that this can be enabled by products and methods that combine (1) a data infrastructure in which robot data of already established solutions is gathered, (2) a search system by which an operator can find relevant solution elements and (3) methods that allow the operator to connect the found elements into a new robot system. The project will achieve this in a close collaboration between robot suppliers, manufacturing companies, and universities. The project will enable (1) the suppliers to address new business opportunities, (2) the manufacturing companies to faster establish new as well as optimizing already running robot solutions and (3) the universities to create new knowledge in the intersection between digitalization and automation.