The “Enhance Vessel AI” project, led by AST Reygar, is set to launch in September 2025 and will be available by April 2026. This initiative aims to revolutionize vessel maintenance by utilizing artificial intelligence to predict potential issues before they escalate into costly problems. Developed in collaboration with Seacat Services’ fleet, the project aligns with the UK SHORE initiative to decarbonize maritime transport through innovative, data-driven solutions.
The project, which runs for seven months, involves a consortium that includes CrewSmart Ltd and ORE Catapult. It focuses on leveraging real-time data and historical maintenance records to improve operational efficiency and reduce emissions in the marine industry. The AI tool will analyze vessel performance data alongside maintenance histories, enabling it to make intelligent predictions about possible faults.
Real-world testing will occur with Seacat Services’ fleet of Crew Transfer Vessels, ensuring the tool is robust and user-friendly. The technology is designed for scalability across various vessel types, including those with diesel, electric, and hybrid propulsion systems. Ultimately, this project aims to enhance vessel efficiency, reduce emissions, and support the UK’s commitment to sustainable maritime practices.
