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.

 

Submit your project

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. 

AlongRoute

AlongRoute comes to revolutionize the way marine forecasts are produced by surrogating conventional numerical modeling with advanced Artificial Intelligence (AI) models, for use within the cargo shipping industry. At this stage, the solution already provides reliable forecasts for the Mediterranean Sea and its scope is to aid in vessel management operations such as route optimization for lowering the risk of damage to vessels, cargo, and crews, as well as for maximizing fuel efficiency within the constraints of the planned arrival time. The core innovation lies in the utilization of AI techniques which leverage the “knowledge” that lies within reanalysis data and allow for better accuracy without any physical modeling, especially during rough weather at sea.

  • Shipping & ports

Company behind project
AlongRoute Data

Greece

About Us
Dr. Georgia Kalantzi is an Oceanographer with a Ph.D. in Physical Oceanography (ocean wave modeling) from the NOC, UK. She has more than 10 years of academic experience and 12 years of experience in the private sector. Since 2016 she has been a shareholder of OMIKRON SA (AlongRoute parent company) and today she is the Co-founder, CEO, and CMO of AlongRoute and also undertakes the role of Innovation and R&D Manager.
Mr. Eduardo Pena Vina holds a Master's in Aeronautical Engineering and Informatics from ISAE-ENSMA in Poitiers, France. He worked in Cybersecurity at Institut Télécom and Airbus Defence and Space (formerly Cassidian Cybersecurity). Today, he is the Co-founder, CTO, and CIO of AlongRoute and also undertakes the role of AI Specialist.
Stergios Diamantopoulos is an Environmentalist, MSc and he has more than 35 years of professional experience in environmental/ geospatial project management and systems development with a focus on natural processes. He is a Co-founder of AlongRoute serving as a Business Analyst and Advisor.
Apostolia Papadoudi is an Environmentalist, MSc and She has more than 30 years of professional experience in environmental/ geospatial project management and administrative/ financial management. She is a Co-founder of AlongRoute serving as a Financial Manager and Advisor.



Problem we are solving
Maritime transport is a major source of emissions, and strict climate regulations are forcing stakeholders to respond. They are now actively seeking solutions that can reduce blue GHG emissions. One of the most promising groups of solutions is weather-based ship routing systems, which suggest optimal routes for ships to keep their fuel consumption low. However, experience shows that these systems do not work as expected. The problem is not with the routing itself, but with the marine weather forecasts they use as input. Unfortunately, the existing forecast data is not accurate enough and this causes the routing systems to perform poorly.

Sustainable Impact on Blue Ecconomy
Weather-based ship routing has been used to minimise fuel consumption and emissions, but its accuracy critically depends on the quality of the marine weather forecasts on which it is based; existing forecasting models cannot accurately predict the complex behaviour of the ocean. We are developing advanced AI models that learn how the physics of the ocean work. This allows us to make highly accurate forecasts of ocean parameters such as waves, currents, and surface winds. Using our forecasts as input, existing weather ship routing systems can perform up to 1.3 times better than before, leading to a significant reduction in emissions.

TRL
  • TRL 6 - System/subsystem model or prototype demonstration in a relevant environment

  • Readiness Assistance Beneficiary


Financial Needs400.000 €

Planned Funding Allocation
  • Improve our R&D: 40
  • Sales and Marketing: 25
  • Operations: 10
  • To hire more resources: 25