Every Scratch. Traced.
Attributed. Resolved.
CLAIMETRACE uses multimodal AI to identify vehicle damage at every logistics handover point and attribute liability to the exact stage, operator, and timestamp. Automatically.
The Attribution Gap
The Hidden Cost of
Untraced Vehicle Damage
Across logistics terminals, insurers lose millions annually to unresolved damage disputes. CLAIMETRACE closes the gap.
Without CLAIMETRACE
Current industry reality
- ✕Manual paper-based condition checks at every handover
- ✕No timestamped photographic evidence per process stage
- ✕Weeks-long dispute cycles between operators and carriers
- ✕Opaque liability: no one knows where damage actually occurred
- ✕No systematic trend analysis to prevent repeat incidents
With CLAIMETRACE
Automated and precise
- ✓Automated multi-angle AI capture at every handover point
- ✓Timestamped evidence packages generated in under 30 seconds
- ✓Claim resolution reduced from weeks to hours
- ✓Damage attributed to exact stage, operator, and timestamp
- ✓Continuous quality dashboards and trend intelligence
See It In Action
Real Inspections. Real Results.
Watch CLAIMETRACE process live vehicle inspections from capture to attribution report in under 30 seconds.
CLAIMETRACE cameras capture every vehicle surface simultaneously as it passes through the inspection lane. The AI begins analysis in real time, flagging anomalies within seconds of entry.
AI Pipeline
From Camera to
Audit-Ready Report
Five deterministic stages process every vehicle inspection in under 30 seconds with full traceability.
Capture
Synchronized multi-angle camera arrays record every vehicle surface at the inspection lane in a single pass.
Pre-Process
Images are normalized and enriched with handover metadata: timestamp, operator ID, lane, and environmental context.
Damage Detection
Computer vision models identify and classify surface anomalies with bounding regions and calibrated severity scores.
Context Fusion
Detection results are fused with longitudinal vehicle history and process-level logistics data to build a damage timeline.
Attribution Report
A calibrated engine assigns probability scores to each handover stage. An audit-ready evidence package is generated instantly.
Core Capabilities
Built for Real-World
Logistics Environments
Every component is engineered for the throughput, reliability, and auditability that enterprise logistics demands.
Multi-Angle Capture
Synchronized camera arrays deliver complete 360 degree surface coverage at throughput speeds of 180+ vehicles per hour without slowing operations.
AI Damage Analysis
Deep learning models classify damage type, extent, and severity with calibrated confidence scores and full uncertainty bounds per detection.
Temporal Attribution
Longitudinal vehicle records and process timelines are cross-referenced to pinpoint exactly when and where damage first occurred.
Human-in-the-Loop
Low-confidence detections are automatically escalated to human reviewers with full context and suggested actions. Reviewers never start from scratch.
Target Markets
Built for Every Stage
of the Vehicle Lifecycle
From port terminals to insurers to OEM distribution networks, CLAIMETRACE delivers attribution-grade evidence at every handover point.
Vehicle Logistics Terminals
Port and Rail Terminals
Eliminate disputed handovers, reduce liability exposure, and cut damage claim processing time across your entire operation.
- Automated pre and post-handover condition recording
- Damage origin attribution per logistics stage
- Operator-level quality monitoring
- Insurance claim evidence packages
Insurance and Claims
Motor Carriers and P&C Insurers
Replace manual inspection reports with machine-verified, timestamped evidence that is audit-ready from day one.
- Digital first notice of loss
- AI-assessed damage severity
- Fraud detection via longitudinal comparison
- Straight-through processing for minor claims
OEMs and Fleet Operators
Vehicle Distribution and Fleet Management
Maintain a continuous, tamper-evident condition record for every vehicle from production exit to end customer delivery.
- Factory-to-dealer condition traceability
- Pre-delivery inspection automation
- Fleet damage trend analytics
- Supplier quality accountability
Why CLAIMETRACE
Architecture Designed
for Enterprise Grade Trust
Four architectural decisions that differentiate CLAIMETRACE from conventional inspection tools.
01
Longitudinal Data Advantage
Each inspection adds to a vehicle's permanent condition history. Over time, the system learns terminal-specific damage patterns and flags anomalies that single-point systems cannot detect.
02
Human-in-the-Loop Architecture
Automation handles the routine and humans handle the edge cases. Low-confidence AI outputs are escalated with context and suggested actions so reviewers never start from scratch.
03
Audit-Ready Evidence Packages
Every inspection generates a hash-verified, tamper-evident record including raw images, AI annotations, operator metadata, and a full decision trace. Exportable to any claims or ERP system.
04
Edge-First Deployment
The inspection pipeline runs on-premises at the terminal, tolerating intermittent connectivity. No vehicle image data is transmitted to external cloud infrastructure without explicit consent.
Get in Touch
Ready to Eliminate
Damage Disputes?
Tell us about your operation and we will arrange a personalised walkthrough of the CLAIMETRACE pilot programme.