Combines high-frequency sensor data, noon reports, AIS, and weather inputs into one unified view
Ingest
Detects performance deviations and highlights where attention is needed, with optional support from our experts
Assess
Continuously builds vessel-specific AI models that capture hull and main engine behaviour by comparing actual vs expected performance
Model
Enables smarter operational decisions (eg optimising hull cleaning schedules) & planning main engine maintenance at the right time
Act
How it works
From data to action
Key capabilities
Cassandra provides full visibility across vessel performance, energy usage, and operational efficiency.
Neuro is the onboard hardware gateway connecting directly to vessel systems to collect high-resolution operational data with minimal installation complexity.
Without a unified digital backbone, operators face, True operational efficiency begins with structured and reliable vessel data.
Data health monitoring:
Data health annotations
Hull & fouling analysis:
Quantifies fouling impact and cleaning ROI
Main engine & machinery monitoring:
Detects anomalies (e.g. fuel overconsumption, machinery issues) in near real time
CII & emissions tracking:
Monitors efficiency, compliance, and trends over time
Automated reporting & custom dashboards:
Generates vessel, voyage, and fleet-level reports, built around each team’s needs
Cassandra provides full visibility across vessel performance, energy usage, and operational efficiency.
~85%
Reliant on noon reporting
~85%
Reliant on noon reporting
~85%
Reliant on noon reporting
~85%
Reliant on noon reporting
Neuro has demonstrated
Together with Neuro and Vessel Core, it enables:
The insight layer of Vessel Intelligence
Cassandra turns trusted data into actionable insight, and supports teams in turning insight into action.
Large volumes of data from multiple sources
Conflicting signals between reports and sensors
Time-consuming manual analysis
Performance teams today deal with:
As a result:
Issues are detected late
Team tends to be reactive rather than proactive
Lmprovement opportunities are missed
The challenge
Too much data. Not enough clarity on what to do
The problem is not lack of data. It is a lack of clear, actionable insight, and the capacity to act on it consistently.