Vessel-specific AI models (not generic assumptions)
Full integration of weather, fouling, and vessel condition
Re-optimisation in real-time during voyage
Multi-objective optimisation (fuel, TCE, ETA)
Combined route and speed optimisation, or speed-alone
Key capabilities
Built for real-world voyage optimisation
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.
Pythia replaces traditional ‘weather routing’ with high-resolution, vessel-specific intelligence that directly impacts your voyage objectives.
+6%
Fuel reduction vs generic models
406K €
Annual savings potential per vessel
+1 CII
Class improvement per vessel
Real results
Combined with HyperPilot, it enables:
The decision layer of Voyage Automation
Pythia transforms vessel intelligence into optimal decisions via continuous optimisation.
Pythia calculates the optimal way to run every voyage, based on how each vessel actually behaves.
Generic vessel models
Infrequent updates, regardless of voyage progress
Limited integration of weather and conditions
Most voyage planning today relies on:
Fuel waste occurs on every voyage
Voyage decisions are made without context
Vessels do not arrive on time
Commercial outcomes (e.g. TCE) are not maximised
As a result:
The challenge
Major voyage decisions are still based on approximations
In practice, fleets still operate with a “low-definition” understanding of vessel behaviour, making it difficult to optimise voyages accurately.
Builds high-resolution, vessel-specific performance models using AI (considering speed, draft, fouling, weather, and more)
Model
Calculates fuel consumption and performance under thousands of different scenarios
Simulate
Generates the optimal speed and route based on fuel minimisation, TCE maximisation, technical and operational constraints
Optimise
Continuously updates decisions as progress and conditions (oceanic, meteorological or commercial) change during the voyage
Act
How it works
From vessel behaviour to optimal decisions
The result? A dynamic, continuously-optimised voyage plan.
