DROYD Fleet · Commercial Shipping

Know what fails before it fails.

DROYD Fleet is an AI-driven predictive maintenance platform for commercial fleets. It predicts equipment failures, assists your mechanics with proven fixes, and plans your drydocks — all inside the in-ship applications you already use.

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Capabilities

Built for the Realities of Fleet Operations

Failure Prediction with Drivers

Every prediction is explained: vibration signatures, temperature deltas, oil analysis results, and time-between-overhaul percentages. Your superintendents see not just what will fail, but why the model believes it.

Mechanic Solution Assist

When something breaks at sea, DROYD suggests repair procedures backed by fleet-wide knowledge and generative AI — drawing on what actually fixed the same fault on sister vessels.

Drydock Mode

Turns your maintenance backlog into MoSCoW-prioritized buckets (Must / Should / Could / Won't) and drafts the docking procedure automatically, so every yard day counts.

A System That Learns

Every confirmed or rejected prediction and every "this fixed it" from your crews updates the model's per-equipment-class weights and grows the fleet knowledge base. DROYD gets sharper with every voyage.

Integrations

Works Inside Your In-Ship Applications

DROYD Fleet runs standalone or as an add-on to the platforms your vessels already run. Purpose-built adapters connect to leading in-ship, fleet management, ERP, and maintenance applications:

Kongsberg Vessel Insight Wärtsilä Expert Insight MAN CEON WinGD WiDE DNV Veracity DNV ShipManager SpecTec AMOS ABB Ability Inmarsat StormGeo

From Sensor Data to Yard Plan

DROYD Fleet ingests condition data from onboard systems, correlates it across your entire fleet, and turns it into decisions your teams can act on.

  • Fleet-wide failure prediction dashboard with per-vessel drill-down
  • Explainable predictions your chief engineers can challenge and confirm
  • AI-drafted work orders and docking procedures
  • Secure cloud architecture with enterprise identity management
  • Continuous learning loop from crew feedback

Typical Outcomes

  • Fewer unplanned stoppages through early fault detection
  • Shorter drydock stays via MoSCoW-prioritized work packages
  • Faster onboard repairs with fleet-proven fix suggestions
  • Institutional knowledge captured — not lost when crews rotate

See DROYD Fleet on your own vessel data.

We'll connect to one vessel's platform feed and show you predictions within weeks.

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