AI-Driven Intelligence
for Marine Surveys, Defects, and Vessel Health
MWI AI is a purpose-built artificial intelligence platform designed for the marine industry. It supports surveyors, inspectors, and vessel owners with real-time analysis, predictive insights, and clear, non-technical summaries powered by AI.
Built around real inspection data, real vessels, and real operational workflows.
Register your interest to access the MWI AI platform. Our team will contact you to arrange onboarding and next steps.
Marine Inspection Data Is Complex, Technical, and Time-Sensitive
Marine surveys generate vast amounts of inspection data, defect records, corrosion readings, and reports. Interpreting this data across vessels, voids, and survey years is time-consuming and often difficult for non-technical stakeholders to understand.
MWI AI exists to transform this complexity into clear, actionable intelligence.
An AI Platform Designed Specifically for Marine Operations
MWI AI integrates directly into the MWI Vessel and Defect Management System. Using live inspection data and historical survey records, the platform analyses vessel condition, defect trends, corrosion progression, and maintenance risks using advanced AI models.
The system delivers plain-language insights while preserving the depth required by technical professionals.
Real-Time Marine AI Assistant
The MWI AI chatbot is available across the platform, allowing inspectors and clients to ask natural questions about vessels, defects, corrosion, and survey findings.
- Saved chat history
- Summarise this survey report
- Which defects are most critical?
- Which vessel needs immediate repair?
- Welding, inspection, and standards knowledge
- Context-aware responses based on vessel, void, and user role
Vessel Health Analysis with Cost Forecasting
MWI AI analyses all defects, voids, and inspection history for a vessel to generate a clear summary of condition, risks, and cost implications.
- Year-over-year comparison
- Defect severity breakdown
- Delay impact forecasting
- Maintenance urgency
- Repair cost estimation
Void-Specific Analysis with Inline Repair Cost Estimates
Each void can be analysed individually, providing detailed summaries of defect condition, corrosion behaviour, and repair recommendations.
- Thickness and inspection interpretation
- Repair vs monitor recommendations
- Estimated hours × hourly rate logic
- Critical defect summaries
- Inline cost visibility
3D Scan & Corrosion Map Intelligence
MWI AI analyses historical and current 3D scans and ultrasonic maps to detect corrosion progression and emerging risk zones.
- Year-over-year scan comparison
- Client-friendly explanations
- Risk area identification
- Hotspot detection
Corrosion Wastage Forecasting & Predictive Insights
MWI AI enhances existing corrosion charts by forecasting future degradation and identifying risk timelines.
- Maintenance window recommendations
- Time-to-unsafe thickness prediction
- Corrosion growth rate (mm/year)
- Plain-language AI commentary
Fleet-Wide AI Comparison and Trend Detection
Compare vessels across fleets or classes to identify patterns, anomalies, and priority risks.
- Class-based anomaly detection
- Corrosion rate comparison
- Cross-vessel defect trends
- Hotspot detection
Instant AI Summaries for Survey Reports
MWI AI generates concise summaries for survey reports, helping clients understand outcomes without reading technical documents.
How It Works
Simple, powerful, intelligent
01
Inspection data uploaded
02
AI analysis triggered
03
Real-time AI processing
04
Plain-language insights delivered
Platform Live | Application Enhancements in Progress
The MWI AI portal is live and actively analysing inspection data. Additional application features and enhancements are currently in development and will be released in upcoming phases.
Early access users will be onboarded directly by the MWI team.
Live
Enhancing
AI Expansion
Upcoming
MWI AI App
Get Access to MWI AI
Register your interest to access the MWI AI platform. Our team will contact you to arrange onboarding, permissions, and platform access.