MariMatch Europort 2025

5–6 Nov 2025 | Rotterdam, Netherlands

ProductUpdated on 14 October 2025

Canopy for Maritime vessels

Pim Breukelman

Chief Commercial Officer at Jungle AI

Amsterdam, Netherlands

About

From Calendar to Condition: Revolutionize Maritime Maintenance with Canopy

Is your maintenance schedule still dictated by the calendar? It's time for a change. For too long, the maritime industry has relied on time-based maintenance, an inflexible and costly approach that services healthy equipment and fails to prevent unexpected breakdowns. This inflates operational expenditure (opex) and creates inefficiencies without guaranteeing reliability.

The future is data-driven. By collecting your operational data, you can transition to a flexible, condition-based maintenance strategy that reduces costs and minimizes downtime.

The Challenge: The Inefficiency of Time-Based Maintenance

The traditional approach to maritime maintenance operates on a flawed assumption: that equipment degrades on a fixed, predictable schedule. The reality is that every asset is unique. This mismatch leads to two major problems:

  • Unnecessary Costs: You are forced to service perfectly healthy equipment, driving up your with unnecessary labor and spare parts consumption.

  • Unplanned Downtime: A fixed schedule offers no guarantee against unexpected failures, which can occur between planned servicing events.

Our Solution: Canopy, The Engine for Data-Driven Maintenance

Canopy is an agnostic software solution that transforms your existing vessel data into a real-time, highly accurate view of machinery health. We empower you to move from reactive repairs to proactive, condition-based maintenance.

Our powerful, three-step process is simple:

  1. Machine Learning: We use as little as six months of your historical sensor data to teach our AI the unique, healthy operational behavior of your fleet's machinery.

  2. Normality Modeling: Canopy creates a "digital fingerprint" for each asset, understanding precisely how it should behave under all specific operating and ambient conditions.

  3. Intelligent Monitoring: Our platform monitors your vessels 24/7, sending alerts only when machinery deviates from its established normal behavior, giving you a highly sensitive and accurate view of its true health.

The Financial Impact: Proven Reduction

This isn't just a concept; it's a strategy with proven financial benefits. Joint research from Lloyd's Register and NYK Line demonstrates the clear advantage of Condition-Based Maintenance (CBM), showing significant savings in the highest-cost areas of an budget. By scheduling maintenance based on actual equipment condition, you can:

  • Extend Maintenance Intervals: Safely postpone major overhauls in collaboration with OEMs, based on data-backed evidence.

  • Reduce Unplanned Maintenance: Detect abnormalities and developing faults early, allowing you to plan interventions and avoid costly surprises.

Get Started on Your Path to Optimized Maintenance

We make it easy to prove the value on your own data before you commit.

  • Step 1: Consultation & Value Assessment: Let's discuss your fleet's challenges and model the potential savings for your vessels.

  • Step 2: Historical Data Validation: We'll run a proof-of-concept on your historical data to demonstrate the abnormalities our models would have detected on your own assets.

  • Step 3: Live Deployment: Once you see the value, we deploy Canopy for live monitoring and work with you to start optimizing your maintenance schedules with class societies.

Ready to reduce your operational complexity? Get in touch to build a tailored business case for your fleet.

Organisation

Jungle AI

Other

Baarn, Netherlands

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