Maritime AI Platform - Hull Inspection & Maintenance

The Challenge: Expensive, Slow Hull Inspections

Hull inspections in the shipping industry are expensive, slow, and error-prone. Traditional methods require dry-docking vessels for days - at costs exceeding $50,000 per inspection.

The results? Often inconsistent between different surveyors. The entire workflow relied on fragmented data sources, paper-based reports, and a lack of standardization.

Our client came to us with a clear mission: Build a platform that uses AI to assess, track, and proactively maintain hull conditions - without taking vessels out of operation.

Our Approach: AI-Powered Full-Stack Platform

We designed and built the platform as a full-stack AI solution from the ground up - structured around three core capabilities:

Computer Vision for Hull Analysis

Custom computer vision models detect and classify hull degradation from underwater drone and ROV footage:

Corrosion - Early stages through advanced damage
Biofouling - Growth levels and patterns
Coating damage - Cracks, delamination, blistering

The models were optimized for real-world maritime conditions: low visibility, varying lighting, and uneven surfaces.

Digital Twin & Condition Tracking

Each vessel receives a persistent digital representation of its hull surface. Inspection data is spatially mapped, creating a historical record that enables:

Tracking degradation patterns over time
Reliably predicting future maintenance windows
Conducting condition comparisons across fleet vessels

Secure, Distributed Infrastructure

Maritime operations span continents and varying connectivity conditions. Our solution:

Edge processing for inspections in ports with limited bandwidth
End-to-end encryption of all data flows
Compliance with classification society requirements

The Results: Measurable Transformation

The platform went live with an initial fleet of over 40 vessels and has since expanded to multiple shipping companies.

60% shorter inspection time - by eliminating extended dry-dock stays for routine surveys
40% lower costs per inspection - through automation and reduced downtime
99.2% accuracy - the AI classification system outperforms the manual consistency rate of certified surveyors

From Reactive to Proactive

Beyond the numbers, the platform has transformed how fleet operators think about maintenance. Instead of reactive scheduling, they now have a data-driven overview of hull conditions across their entire fleet - enabling proactive decisions that reduce fuel consumption, extend coating lifespan, and keep vessels in operation.