See our showcase of innovative projects and entrepreneurs who are shaping the Blue Economy.
Projects consist of innovative, scalable and sustainable business ventures from traditional and emerging sectors of the maritime economy.
The graphs below provide an overview of the country distribution, sector, and TRL of projects currently listed in the BlueInvest Project Pipeline.
Selection Criteria:
Your company is EU-based or from an eligible sea basin region (Georgia, Turkey, Ukraine, Moldova, Montenegro, Albania, Bosnia-Herzegovina, North Macedonia, Serbia, Turkey, Israel, Egypt, Tunisia, Algeria, Morocco, Lebanon, Syria, Libya, Mauritania, United Kingdom, or Norway)
Your project TRL is 4 or higher
Your project sector is in one of the 10 blue economy sectors identified for this initiative
Your solution has a clear sustainable impact on the blue economy
Your project is looking for investment
Country in which the project is being developed and / or implemented.
Main blue economy sector the project relates to.
Current technology readiness level of the project.
FREGATA SPACE
Maria Fernanda is a serial entrepreneur and innovator. She has been creating Startups and technological and business solutions since 2010. She holds a PhD in Quantum Physics (University of Barcelona), Master in Numerical Methods (UPC), with executive education from IESE business school, and has undergraduate studies in Theoretical Physics, Civil Engineering and Physical Oceanography. Maria Fernanda is a specialist in the creation of business solutions based on Big Data and Machine Learning for large corporations, improving their annual turnover between 5 and 7 percent. In 2013 she was invited by the United States and nominated by Spain to represent it in its prestigious IVLP (International Visitor Leadership Program). In her professional career she has received support from several governments such as the Catalan Government, Spanish Government, American Government, South Korean Government and Dutch Government.
A passionate team with more than 100 years of experience in Machine Learning algorithms, development of space and DeepTech projects, and R&D expertise in oceanography, water and earth observation. In the team there are currently 4 women and 6 men. 2 women (Ph.D) are in the management team and 3 men in the management team.+12,000 hours developing machine learning algorithms applied to satellite imagery, IoT, and other data sources (external APIs, meteorological chemical data among others).
Lack of real-time information on the pollution to which human beings are exposed anywhere on the planet. If we know what pollutants we are exposed to at any given moment, we can reduce the possibility of health problems.
We make the invisible visible.We have developed an Earth Observation platform for monitoring, with functionalities such as automatically discovering pollution in the air, water bodies and land anywhere in the world in just 20 seconds by applying proprietary Machine Learning algorithms on multispectral and hyperspectral images coming from different sources such as satellites, UAVs and local cameras.We deliver valuable information in better spatial and temporal resolution, of the past, present and predictive to understand what kind of pollutants we are exposed to and thus optimize remediation processes and monitoring.