Investeringsoversigt
7775 investments
| Titel Sort descending | Periode | Program | |
|---|---|---|---|
| FarmDroid | 2018 - 2019 | Innobooster
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FarmDroid
Period
2018 - 2019
Region
Region Syddanmark Program
Innobooster Area
Ikke defineret Investment
Percentage
25.18 Invested
359.502 Budget
1.4 mill. Partners
Farmdroid ApS People
FarmDroid ApS
Read more about the project
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| FarPay ApS | 2018 - 2018 | Innobooster
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FarPay ApS
Period
2018 - 2018
Region
Region Hovedstaden Program
Innobooster Area
Ikke defineret Investment
Percentage
30.45 Invested
420.148 Budget
1.4 mill. Partners
FarPay ApS People
FarPay ApS
Read more about the project
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| FashionBoard - Style Investment | 2021 - 2021 | Innobooster
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FashionBoard - Style Investment
Period
2021 - 2021
Region
Region Syddanmark Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
475.200 Budget
1.4 mill. Partners
Millers People
Millers
Read more about the project
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| FAST - Automated Textile Sewing and Cutting System | 2022 - 2023 | Innofounder
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FAST - Automated Textile Sewing and Cutting System
Period
2022 - 2023
Region
Program
Innofounder Area
Ikke defineret Investment
Percentage
100 Invested
430.000 Budget
430.000 Partners
Mikkelsen Innovation ApS People
Read more about the project
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| Fast detection of microbial growth in full-scale industrial operations | 2020 - 2022 | Innobooster
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Fast detection of microbial growth in full-scale industrial operations
Period
2020 - 2022
Region
Region Hovedstaden Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
938.850 Budget
2.8 mill. Partners
IntuBio ApS People
IntuBio ApS
Read more about the project
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| Fast Direct Solvers for Integral Equations in High-Frequency Electromagnetics | 2022 - 2025 | Industrial Researcher
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Fast Direct Solvers for Integral Equations in High-Frequency Electromagnetics
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
57.29 Invested
1.1 mill. Budget
1.9 mill. Partners
Technical University of Denmark, TICRA FOND People
TICRA FOND
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| Fast Flood Simulations in MIKE 21 | 2023 - 2026 | Industrial Researcher
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Fast Flood Simulations in MIKE 21
Period
2023 - 2026
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
35.09 Invested
1.1 mill. Budget
3.1 mill. Målet er at udvide anvendelsesområdet for modellering af oversvømmelseshændelser med MIKE 21. Projektet vil fokusere på at udnytte hydrologisk routning i MIKE 21, og udvikle automatisk overgang mellem disse og de eksisterende hydrodynamiske metoder. Desuden vil projektet implementere sub-mesh skala teknikker for at øge nøjagtigheden af oversvømmelsesberegninger. Teknikkerne vil benchmarkes på realistisk stor-skala modeller, der kan validere og demonstrere den kommercielle værdi.
Partners
Technical University of Denmark, DHI A/S People
Read more about the project
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| Fast Full-Wave Methods for Irregular Antenna Arrays for Space Applications | 2020 - 2023 | Industrial Researcher
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Fast Full-Wave Methods for Irregular Antenna Arrays for Space Applications
Period
2020 - 2023
Region
Region Hovedstaden Program
Erhvervsforsker Area
Andet Investment
Percentage
100 Invested
1.1 mill. Budget
1.1 mill. Partners
Technical University of Denmark, TICRA FOND People
TICRA FOND
Read more about the project
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| Fast personalized brain MR-imaging to improve global healthcare | 2021 - 2022 | Innobooster
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Fast personalized brain MR-imaging to improve global healthcare
Period
2021 - 2022
Region
Region Hovedstaden Program
Innobooster Area
Ikke defineret Investment
Percentage
33 Invested
4.0 mill. Budget
12.1 mill. Partners
Cerebriu A/S People
Cerebriu A/S
Read more about the project
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| Fast Physics-guided Surrogates for Flexible Mesh Water Models | 2024 - 2027 | Industrial Researcher
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Fast Physics-guided Surrogates for Flexible Mesh Water Models
Period
2024 - 2027
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
34.75 Invested
1.1 mill. Budget
3.1 mill. Dette ph.d.-projekt udvikler nye hurtige og nøjagtige surrogatmodel-metoder baseret på fysik-guidet maskinlæring til at emulere DHI's MIKE modeller som bruges til løsning af vandrelaterede klimaudfordringer. Formålet er at opnå markant hurtigere beregninger og derved muliggøre anvendelser som usikkerhedsvurdering og klimascenarier. Fokus er på modelarkitektur med lavere ordens-repræsentation, effektiv træning og integration af fysisk viden for at sikre generalisering, robusthed og stabilitet.
Partners
Technical University of Denmark, DHI A/S People
Read more about the project
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| FAST TRACK - Industrial Fast Track towards materials endurance | 2016 - 2019 | Grand Solutions
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FAST TRACK - Industrial Fast Track towards materials endurance
Period
2016 - 2019
Region
Region Midtjylland Program
Grand Solutions Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
58.35 Invested
35.0 mill. Budget
60.0 mill. Partners
Siemens Wind Power A/S, Terma A/S, ELPLATEK A/S AF 1995, Hempel A/S, Danmarks Tekniske Universitet, Aalborg Universitet, Teknologisk Institut, FORCE Technology, Unallocated funds People
Siemens Gamesa Renewable Energy A/S
Read more about the project
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| Fast-tracking the identification of safe and effective probiotic bacteria by in silico prediction of bacterial genomic features | 2017 - 2020 | Industrial Researcher
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Fast-tracking the identification of safe and effective probiotic bacteria by in silico prediction of bacterial genomic features
Period
2017 - 2020
Region
Region Hovedstaden Program
Erhvervsforsker Area
Bioressourcer, Fødevarer og Livsstil Investment
Percentage
43.97 Invested
1.1 mill. Budget
2.4 mill. Partners
CHR HANSEN A/S People
CHR HANSEN A/S
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| Faster Plaster - intelligent facadepudsning | 2019 - 2019 | Innobooster
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Faster Plaster - intelligent facadepudsning
Period
2019 - 2019
Region
Region Nordjylland Program
Innobooster Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
33 Invested
313.500 Budget
950.000 Partners
Faster Plaster ApS People
Faster Plaster ApS
Read more about the project
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| Fastholdelse af algoritme-specialist til Real-time 3D image analysis baseret på advancerede algoritmer til optimering i procesindustrien | 2020 - 2021 | Innobooster
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Fastholdelse af algoritme-specialist til Real-time 3D image analysis baseret på advancerede algoritmer til optimering i procesindustrien
Period
2020 - 2021
Region
Region Hovedstaden Program
Innobooster Area
Ikke defineret Investment
Percentage
100 Invested
360.000 Budget
360.000 Partners
ParticleTech ApS People
ParticleTech ApS
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| Fastholdelse af medarbejder hos Cobot Lift | 2020 - 2021 | Innobooster
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Fastholdelse af medarbejder hos Cobot Lift
Period
2020 - 2021
Region
Region Sjælland Program
Innobooster Area
Ikke defineret Investment
Percentage
100 Invested
270.000 Budget
270.000 Partners
Cobot Lift ApS People
Cobot Lift ApS
Read more about the project
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