Latest News
23. sep. 2025
NAVTOR Leads the Change in Green Maritime Innovation with the GASS Project
In a bold stride toward sustainable maritime operations, NAVTOR has taken the helm of "Green AI for Sustainable Shipping" (GASS). Backed by a 44 million NOK grant from the Norwegian Government’s Green Platform Initiative, the project aims to revolutionise energy efficiency in the maritime shipping industry through cutting-edge artificial intelligence.
18. sep. 2025
A Dual Innovation for Sustainable Shipping
New research results from the GASS (Green AI for Sustainable Shipping) and DYNAPORT (Dynamic Navigation and Port Call Optimisation in Real Time) projects demonstrate how cutting-edge digital technology can reduce emissions from shipping while maintaining safe operations.
18. juli 2025
🚢 Milestone 3 - Demonstrators started
Bergen, July 2025 – The GASS project has officially reached Milestone 3, marking the start of demonstrators that will validate the impact of AI-enhanced voyage optimisation on greenhouse gas (GHG) emissions, fuel efficiency, and operational costs. This milestone builds on the foundation laid in Deliverable D4.1, which defined the test scenarios and benchmark trajectories. After the prototype simulations and demonstrations, we will continue to roll out for real-world trials.
23. mai 2025
Advancing AI for Green Shipping
Simula is a leading research organisation specialising in information and communication technology. In Green AI for Sustainable Shipping (GASS), Simula is playing a crucial role in developing the AI algorithms that will help the project achieve its goal of optimising fuel consumption and reducing emissions from ships.
21. feb. 2025
Onboard Wireless Connectivity collecting IOT sensor data
ScanReach is a pioneering technology company specialising in wireless IOT connectivity solutions for the maritime industry’s complex and confined steel environments. As a partner in the Green AI for Sustainable Shipping project, they have a vital role in collecting the vessels’ Motion Reference Unit (MRU) sensors’ data.


















