What is the BlueInvest Project Pipeline?
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
Project Country
Country in which the project is being developed and / or implemented.
Project Sector
Main blue economy sector the project relates to.
Project TRL
Current technology readiness level of the project.
PipePredict GmbH
With a MSc in Industrial Engineering and specialization on Entrepreneurship, Christopher Drner is the right guy for our business tasks. He gained first practical experience at Bosch from an internship and his master thesis in the field of predictive maintenance and later supported a software startup for one year in its business development. Valerie Fehst holds a MSc in Physics and is an expert for network theory and sensor placement. Her knowledge helps us to combine different sensor data and her algorithms enable our predictive maintenance solution. She gained first practical experience by working for half a year for an IoT-StartUp as a data scientist. Our Machine-Learning expert and full-stack developer Tri-Duc Nghiem graduated in Natural Language Processing and already has more than eight years of experience implementing Machine-Learning Algorithms for corporates and start-ups. He also worked for an IoT-StartUp and takes care of the frontend as well as the backend.
Higher Precision due to specific algorithms, integration of existing hardware to reduce initial investment costs, real-time analysis of sensor data to predict pipe bursts
Higher Precision due to specific algorithms, integration of existing hardware to reduce initial investment costs, real-time analysis of sensor data to predict pipe bursts