1–14 day forecasts
Rolling regression projects fuel and speed forward with R² and confidence bands.
UAE-built · GCC · Singapore · Offshore & Shipping
Maritime Predictive AnalyticsPredictive analytics & maintenance for shipping and offshore fleets
Forecast fuel, speed and equipment drift days ahead — quantify risk in USD/day and act before downtime hits the bottom line.
- UAE
- Saudi Arabia
- Qatar
- Kuwait
- Oman
- Singapore
- Norway
- Greece
Built for shipowners, fleet & technical managers
Operational intelligence that runs onboard, syncs ashore, and pays for itself in fuel saved.
Anomaly engine
Catch fuel, RPM and sensor anomalies before they reach owners.
Drift detection
Identify hull-fouling and equipment drift weeks before survey.
Risk calibration
Calibrated risk scores with explainable evidence — not black-box AI.
Charter-party defense
Forecasted CP breaches surfaced early, with audit-grade evidence.
Sensor + noon fusion
NMEA 0183 streams reconcile against noon reports for confidence scoring.
What fleets get on day one
- 1, 3, 7 and 14-day fuel & speed forecasts per vessel.
- Anomaly detection on noon reports and sensor streams.
- Hull-fouling and equipment drift early warning.
- Explainable insights — every alert cites the evidence.
- Built for GCC and Singapore shipping & offshore fleets.
- Works offline on the bridge.
Frequently asked
What is maritime predictive analytics?
It uses noon-report and sensor data to forecast fuel burn, speed and equipment drift days ahead — so technical managers act before a CP breach or breakdown.
Do I need extra sensors?
No. Helmsman starts with noon reports alone, and gets sharper if you stream NMEA 0183 sensors via the IoT ingest.
How far ahead can it forecast?
Rolling regression generates 1, 3, 7 and 14-day forecasts with R² and confidence bands a chief engineer can defend.
Explore the platform
Run Helmsman on your fleet.
Pilot on 1–2 vessels in days. UAE-built, GCC & Singapore-ready, offline-first.