About the Project
This project will develop an AI-powered software tool to provide early warning of vessel performance and health degradation, based on a combination of real-time vessel measurements and digital records of defects and maintenance activity. The tool can learn from the historic data of any vessel and can be deployed with minimal setup from the end user.
The tool aims to build upon the existing capabilities of project lead AST Reygar’s BareFLEET system, together with Crewsmart’s fleet management and planned maintenance software.
This project won funding through the Clean Maritime Demonstration Competition (CMDC) Round 6 and is part of a suite of interventions launched by the UK Shipping Office for Reducing Emissions (UK SHORE). The CMDC is funded by Innovate UK and the Department for Transport.
In partnership with:
AST Reygar, Crewsmart, Seacat Services and Offshore Renewable Energy (ORE) Catapult.
What is our role?
As a key partner in the project, we will contribute our deep expertise in artificial intelligence (AI), predictive analytics, and digital twin technologies to support the development of a novel AI-powered predictive maintenance tool for commercial vessels.
This project will strengthen our collaborative ties with partners AST Reygar, Crewsmart, and Seacat Services, and expand our AI research portfolio into offshore vessel operations, complementing our existing work in offshore wind turbine predictive maintenance.