Propulsion Analytics Maritime Asset Management Solution

Engine Hyper Cube that uses continuous engine data or engine performance reports to determine engine health, automatically identify component faults and suggest maintenance actions, improving engine performance while reducing monitoring and troubleshooting effort.

DiEM as an engine Condition-based Maintenance platform which relies on combining multiple sources of engine monitoring to provide a comprehensive picture of engine health, and support decisions for optimizing engine maintenance, leading to lower change of failure and significantly reduced maintenance cost.

VesselQUAD that combines Naval Engineering knowhow with ML/AI on continuous sensor data to provide a real-time analysis of vessel performance and sources of underperformance (weather, fouling), aid in environmental monitoring and provide performance alerts, improving vessel performance and reducing monitoring effort.

ADQM analyses continuous vessel data using engineering, statistical and ML methods to identify sensor errors, improving data quality and reducing analysis costs