Case study · Maritime AI
01 02 03
DeepSea-3D.
AI performance models that cut fuel consumption for maritime fleets.
- React.js
- Three.js
- Python
- AI/ML
The problem
Fuel is the dominant cost and emissions source of running a fleet, and vessel performance is buried in noisy operational data. DeepSea needed AI-generated performance models — and a way for operators to actually see and act on them.
What we built
We built the platform pairing Python-based AI/ML performance models with a React and Three.js front end, turning model output into interactive 3D vessel and route visualizations operators can reason about.
Where it landed
The platform reduces fuel consumption and enhances operational efficiency across the fleet — technology and maritime expertise pulling in the same direction, with sustainability as a measurable side effect rather than a slogan.
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