AI streamlines maritime emissions reporting

Ulstein Digital has launched two new solutions aimed at streamlining emissions reporting for vessel operators. The first addresses monitoring, reporting and verification (MRV) obligations under European Union and UK regulations, while the second automates NOx reporting for vessels operating in Norwegian waters.

The introduction comes as regulatory pressure continues to increase across the maritime sector. Under the EU Emissions Trading System (ETS), shipping companies are now responsible for 100% of verified emissions, meaning every tonne of carbon dioxide emitted carries its full carbon cost. As operators prepare for the 2026 reporting period and the March 2027 submission deadline, accurate and timely reporting has become a significant operational and financial priority.

Ulstein Digital’s MRV solution automatically gathers and validates data generated by onboard systems before compiling verifier-ready reports. The platform supports both EU/EEA and UK reporting requirements and can submit documentation directly to verification platforms with a complete audit trail. Because the system is vendor-independent, it can be integrated with existing vessel equipment regardless of manufacturer.

According to the company, the solution can reduce reporting and verification time by up to 40%, while improving approval rates and providing greater visibility of emissions-related costs across fleets.

The second offering targets NOx Fund reporting requirements in Norway. Vessels with propulsion power exceeding 750kW are required to submit regular emissions data, a process that has traditionally relied on manual data collection and reporting by onboard crews.

The automated solution compiles and validates fuel consumption and selective catalytic reduction performance data, generating submission-ready reports with minimal human intervention. In addition to reducing reporting burdens, the platform provides fleet managers with visibility of NOx-related costs and operational performance, enabling potential inefficiencies to be identified and addressed more quickly.