MAIT unifies real-time monitoring, data storage, analytics, and AI.
MAIT (Modular Analytics & Intelligence Toolkit) is a vessel powertrain monitoring and predictive maintenance platform designed for generators, main engines, and vessel systems. MAIT collects operational data via Modbus, CAN and other industrial protocols, stores long-term historical data, performs statistical and AI-based analysis, and provides dashboards, charts, alerts, and diagnostics for engineers, shipyards, and fleet operators.
Where MAIT fits best
- Superyachts
- Commercial vessels
- Shipyards and refit yards
- Yacht management companies
- Fleet operators
- Generator and engine service companies
- Marine system integrators
- Research vessels and workboats
- No long-term main engine and generator data logging
- Difficult troubleshooting without historical data
- Maintenance based on hours instead of condition
- Undetected performance drift across vessel systems
- Lack of remote diagnostics
- Fragmented vessel systems and data
- Engineers reacting instead of predicting failures
- No baseline performance comparison
- Limited insight into energy usage and efficiency
- Main engine long-term performance trends
- Generator performance monitoring
- Fuel consumption analysis
- Load profile analysis
- Preventive maintenance planning
- Remote troubleshooting
- Charter vessel monitoring
- Energy management analysis
- Warranty support data logging
- Flexible integration with vessel systems
See MAIT in action
Snapshots from live deployment - Generator Monitoring Example
Core modules that make up MAIT
Each module can stand alone, but together they form a comprehensive generator intelligence platform.
Data collector supports monitoring over Modbus TCP, CANopen and SAE J1939-based interfaces where applicable.
FastAPI service that serves dashboards, aggregates metrics, manages alerts, and brokers AI requests.
React dashboard with tabs for live monitoring, historical trends, baseline, AI reports, console logs, and maintenance views.
Long-horizon time-series storage that retains every polled datapoint for analysis, trends, and comparisons across runs.
Runs on your hardware with statistical analysis, baseline modeling, and drift detection to surface issues without leaving your network.
AI-enabled mode with long-term memory and readable reports that account for trends and baselines, with condition monitoring, anomaly detection, trend analysis, performance drift detection and predictive maintenance.
Deployment options that grow with your program
MAIT runs locally onboard the vessel, collecting and storing operational data from generators, main engines, and other systems. The system operates independently without requiring continuous internet connectivity and can be accessed locally by engineers and crew.
Selected data can be securely transmitted to shore for fleet monitoring, remote diagnostics, troubleshooting, and performance analysis across multiple vessels.
MAIT analytics services provide statistical analysis, anomaly detection, and predictive maintenance insights based on operational data and historical performance trends via a remotely based gateway.
Ready to learn more about MAIT?
Prefer direct contact? Email ys@mait.tech