In LSP Ship Factory, central stakeholders in the Danish maritime sector jointly develop novel robotization and digitalization technologies for the highly automated building, repair and recycling of modular ship designs. We introduce a novel cell-based concept for automated shipyard operations, in which processes are executed in a central multi-purpose/ multi-robot workspace. This cell-based concept optimizes the commissioning and continued development and extension of sophisticated automation equipment “out of the box” and enables shipyards to lift their highly manual operations today to flexible, digital and robotized operations, monitored and controlled product quality and attractive workplaces for existing staff and young professionals alike. We utilize the unique equipment of the newly established SDU Center for Large Structure Production (LSP), while supporting the shipyards and designers on implementing relevant aspects of the overall concept in their own operations with their own staff. LSP Ship Factory thus enables shipyards to counter the pressure of a fierce global competition and a lack of workforce with innovative and manageable technologies for robotized production operations around the lifecycle of ships. Outcomes of our joint developments prepare and support the Danish maritime sector with tangible solutions to reactivate and reshore the necessary competencies and capacities to engage in civil and naval initiatives for building and maintaining vessels in DK.

Lower trophic level species aquaculture (LTA) is the most sustainable form of marine protein production. Expanded development in Denmark will address major societal challenges in green transition by providing healthy food, creating jobs outside of big cities, and contributing to the national target of reducing CO2 emissions by 70%. While Danish LTA is far behind the rest of the world in terms of production volume, it possesses excellent conditions for developing the industry: Local high-value species, and long protected coasts with high water quality. By developing a strong technology-based position in production of key species, Denmark has a unique opportunity to become a leader in LTA production of dulse and flat oyster. LTA BOOST will develop new commercial-scale production methods for flat oysters and dulse species, with a large team of local industry and international technology experts. The main bottleneck to LTA industry growth so far has been an unreliable and insufficient seed supply. As such, LTA BOOST will provide this supply in Denmark, with efficient grow-out technologies, biosecurity, water treatment, practical guidance, and dissemination for commercial production. This will pave the road to future investment with low operational risks. Outcomes from the LTA BOOST project will be implemented directly into industry through commercial-scale oyster and seaweed production, and indirectly via the development of the LTA technology value chain in Denmark.

Lulu Health hjælper kvinder med at forstå deres hormonelle sundhed med personaliseret data opsamlet via smart ring og app Lulu Health udvikler en løsning, der hjælper kvinder med at forstå deres hormonelle mønstre, spotte potentielle ubalancer og få viden om deres cyklus og krop - fra pubertet til fertilitet, og overgangsalder. Vi gør dette ved at kombinere præcise målinger af basal kropstemperatur (BBT) fra en smart ring med brugerens eget input i en app, som omsætter data til personlig indsigt og læring. Vores løsning adresserer et stort behov i samfundet: Mange kvinder mangler konkret viden om deres egen krop, og hormonel sundhed er ofte overset i det etablerede sundhedssystem. Vi arbejder tæt sammen med brugere og har en førende professor i gynækologi på teamet, der understøtter vores ambition om at forske i temperatur som biomarkør for kvinders sundhed. 70 % af kvinder bruger allerede digitale værktøjer til at tracke deres cyklus, og markedspotentialet er derfor enormt. Med støtte fra Innovationsfonden kan vi færdigudvikle vores hardware, bygge appen og teste løsningen med de første brugere - en afgørende milepæl. På sigt vil vi være den førende dataplatform for kvinders sundhed - og give kvinder over hele verden adgang til viden og værktøjer, der gør dem i stand til at tage aktivt ejerskab over deres hormonelle helbred.

LumiDocs: AI-native compliance for MedTech and beyond LumiDocs is building an AI-native compliance platform that automates the most time-consuming and expensive parts of regulatory work—starting with medical devices. Today, regulatory compliance (e.g. MDR, FDA, ISO 13485) is slow, manual, and consultant-heavy. LumiDocs radically accelerates this by automating gap analyses, generating compliant documentation, and—ultimately—executing full SOPs via AI agents that are hyper-aware of relevant laws and standards. We've already spoken to 100+ startup and consultancy executives, confirmed strong demand, and generated initial revenue. After summer, we’re launching ultra low-cost or free gap analyses (as little as $50) to drive user growth while we build out the full vision. Our long-term goal is to become the AI infrastructure for regulatory operations—starting with MedTech, then expanding into pharma, food, and other regulated industries. Innovation Fund Denmark’s support will help us accelerate development of the agent-based SOP automation layer and expand support for more standards (FDA QSR, IEC 62304, ISO 14971, etc.), unlocking massive time and cost savings for companies and freeing up experts to focus on higher-impact work. LumiDocs ensures faster market access, reduced compliance costs, and more scalable innovation—especially for startups and SMEs.

Lumina udvikler software der sørger for, at når en elbilsbilist bruger en ladestander til at oplade deres bil, så lader den faktisk, hver eneste gang. Det gøres ved at udvikle software, ved brugen af prædiktive modeller med machine learning og advanced data analytics, til at overvåge netværket gennem data i real-time. I bund og grund handler det om at få ladestandere til at virke bedre og gå mindre i stykker. Lumina indsamler f.eks. data om, hvor ofte de går offline, hvilke fejl de får og hvordan ladestanderen bruges til dagligt. På den baggrund lærer deres systemer at finde potentielle fejl, og genkende mønstre, så deres automatiske systemer kan nå at løse problemerne, inden de opstår. Vores løsning understøtter den grønne omstilling ved at gøre ladenetværk mere driftssikre. Elbilers udbredelse er afgørende for at reducere CO2-udledning fra transportsektoren, men usikkerhed omkring ladetilgængelighed og oppetid bremser udviklingen. Ved at tilbyde prædiktiv vedligeholdelse og dybdegående analytics hjælper vi ladeoperatører med at forebygge fejl, reducere nedetid og sikre en stabil ladeinfrastruktur, en forudsætning for, at flere trygt kan vælge elbil. Innofounder-forløbet tillader os at videreudvikle vores MVP til et driftssikkert produkt, der kan opdage, forudsige og alarmere på alle fejttyper, og automatisk løse dem, når de opstår.