Freeform Injection Molding (FIM) is a novel production method that combines additive manufacturing and injection molding. The benefits are superior cost and time reductions for product development and short series production. But identification of candidates suitable for FIM is a complex (manual) process due to lack of methodology and tools. The project objective is to develop methodologies and tools to support (automated) identification of FIM candidates.

Bakterier i biofilm er indkapslet i en beskyttende matrix, og de tåler derfor biocider og antibiotika. Formålet med dette projekt er at udvikle en high-throughput screenings-platform til identifikation af enzymkombinationer som nedbryder biofilm. Samtidig opnås viden om hvilke makromolekyler der beskytter bakterierne mod biocider. Projektet vil give både ny viden om biofilms sammensætning, og tage det første skridt mod udvikling af biocid-frie enzymbaserede løsninger til biofilm kontrol.

Novo Nordisks patienter er dybt afhængige af at have adgang til innovative devices med høj pålidelighed. Øget brug af varians-baserede simuleringer i udviklingsprocessen ville kunne give design ingeniørerne en øget forståelse af hvordan devicet vil fungere i hele udfaldsområdet, dvs. inkl. varians fra produktion og brug. Udvikling af en proces og metoder til at lave sådanne simuleringer vil muliggøre hurtig udvikling af innovative og pålidelige devices, hvilket kommer patienterne til gode.

Due to increased off-shore activities, the area of underwater data collection is rapidly increasing. Today most payload data is processed manually by highly specialised operators, which in the long term is neither scalable nor feasible. A demand for more intelligent methods to optimise and automate the processing of such data therefore exists. This project seeks to explore how this can be facilitated through investigations and expansion of AI methodologies utilised in adjacent research fields.

Enzymer introducerer biologiske ressourcer i en vifte af industrielle- og forbruger-applikationer, med store miljømæssige fordele. Industrielle enzymer skabes ved at screene mange varianter af naturlige enzymer. Vi vil udvikle ’high-content’ screening, baseret på mikroskopi, så både den overordnede applikations-proces, f.eks. pletfjernelse fra tøj, samt de underliggende molekylære processer som enzym binding og katalyse, probes samtidigt. Herved kan optimerede enzymer mere effektivt findes.

This InnoBooster project aims to deliver 1-click feature which enables shoppers to buy from anywhere with 1 click to all Scandinavian Magento shops and shoppers which will increase the ease-of-buying resulting in higher sales. The goal of the project is to reduce the costs of having such feature by more than 90% by developing a new innovative service in a collaboration with ePay/Bambora and DIBS. The project would make the feature affordable to all Magento webshops resulting in a wide adoption.

Disasters caused by earthquakes and heavy winds are among the largest economic natural disasters. Today’s building protection systems are designed to cover events at a high level of vibration, leaving events at medium to low vibration levels unprotected. DAMPTECH wants to develop a Multi-Level Damper (MLD) system that protects structures against the full spectrum of vibrations from natural disasters. This will increase safety and reduce the cost related to these events. See damptech.com

Evaxion Biotech udvikler en multi-komponent protein vaccine mod Pseudomonas aeruginosa (P.a) infektioner i cystisk fibrose (CF) ved brug af kunstig intelligence. For at designe den optimale vaccine vil vi dette projekt skabe en høj kvalitets biobank af P.a. isolater fra CF patienter, med både geografisk spredning for at sikre høj effekt af den endelige vaccine, og isolater fra forskellige stadiger af infektion for a vælge den korrekt patient gruppe til klinisk afprøvning.

In this project, Develop Diverse will develop the DD-scan – the first “one click” solution for making diversity the new norm for organisations. Driven by Machine Learning, Natural Language Processing and Deep Learning, DD-scan automatically detects 3 types of bias – gender, ethnicity & age – across multiple text types, images and videos. The tool will empower HR and communication managers to target a larger and more diverse applicant pool and thereby attract the best talent.

Udvikling af veganske pølser og postejer, hvor der indgår udvikling af nye typer af teksturede planteproteiner, som kan give produkterne en bedre konsistens og smag end de hidtidige veganske produkter på markedet. Hanegals nye veganske produkter er både økologiske og uden E-numre.

Cobiro is a Copenhagen-based start-up founded by Bo Krogsgaard and Anders Ibsen. We have developed the award-winning and first fully automated and self-learning Google advertising optimizer – a AI platform that enables automatic management of Google AdWords, choosing, bidding, purchasing, managing and reviewing.

In this InnoBooster project, Ennogie will develop a fully functioning prototype of ZEROOF - the first ever solar energy roof solution with roof-integrated batteries for improved economic, energy efficiency, safety and aesthetics. The aim of the project is to have the ZEROOF solution thoroughly tested and its performance validated in a real-life setup and technically adapted for full workability, thus being ready for market launch following project completion.

CrediWire indsamler, normaliserer, validerer (kvalitetssikre), laver dynamisk reklassifikation af regnskabsdata i realtid, der automatiserer processen for virksomheder, banker, revisorer og advokater i forbindelse med regnskabanalyse, økonomistyring, kreditvurdering, forecast, budgettering og långivning.

What is the innovation and the need behind the innovation?:By transforming archival sources to Historical Big Data, we expand the scope of register research from decades to centuries, and open novel avenues for life-course and multi-generational research.; What is the most important competing solution?: The CPR-register. However, it only dates back to 1968. We produce life-courses and genealogy for all Danes from 1787 to 1968.; Who will ultimately receive the value created?: Danish and international research. Tax payers. Genealogy (private and corporate). The Danish National and local archives.; What will the applied investment from Innovation Fund Denmark mainly be used for?: Create a steadily growing data structure, using machine learning, to optimize the value of the unique Danish archives.; How will the project results be implemented?: A new integrated service of the Danish national and local archives will be available to researchers, companies, and citizens.

What is the innovation and the need behind the innovation?:HealthDrone removes the main barriers to implementation of drone-based logistics. Use cases in healthcare enables better patient treatment and reduces costs, thereby ensuring public acceptance.; What is the most important competing solution?: Matternet closest for small cargo transport, testing in Switzerland. No direct competitors on autonomous person transport; Who will ultimately receive the value created?: Consortium can establish drone logistics for healthcare and beyond. Use cases benefit healthcare sector and patients.; What will the applied investment from Innovation Fund Denmark mainly be used for?: Integration and operational testing of drone platforms and software, R&D of required components, innovation assessment.; How will the project results be implemented?: Falck and AM will sell operational services by year 3; Unifly and SA will sell technology products and services by year 1.