VEHICLE INTELLIGENCE

Vehicle intelligence for collision, claims, and investigative context.

MODLAN combines authorized vehicle telematics, EDR/CDR retrieval, field inspection, collision context, and investigative analysis to support complex claim and forensic questions.

EDR/CDR retrievalTelematics contextCollision analysisEvidence handling
Vehicle collision forensics and data review environment.

OPERATING PRINCIPLES

High-value public context. Protected implementation.

01

Acquire lawfully and correctly

Vehicle data work begins with appropriate authority, compatible tooling, careful acquisition, and disciplined chain-of-custody practices.

02

Interpret in context

Event and telematics data should be evaluated alongside scene evidence, vehicle condition, statements, chronology, and other relevant claim information.

03

Preserve provenance

Source device, acquisition details, transformations, access, and analytical limitations should remain explainable and defensible.

04

Support—not overstate

Vehicle data can be highly valuable, but conclusions should reflect source limitations and qualified professional interpretation.

CST PROTOCOL™ DISCLOSURE BOUNDARY

Describe the value. Protect the invention.

This page intentionally stays at the business, investigative, and operating-principle level. It does not disclose proprietary CST Protocol™ architecture, scoring logic, algorithms, internal thresholds, source code, confidential datasets, or unpublished invention details.

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PUBLIC FAQ

Questions organizations ask before deeper engagement.

What are EDR and CDR?

EDR refers to Event Data Recorder information, while CDR commonly refers to Crash Data Retrieval processes and tooling used to retrieve supported vehicle event data.

Does MODLAN claim vehicle data proves an entire loss scenario?

No. Vehicle data should be interpreted in context with other available evidence, source limitations, and qualified professional analysis.

Can vehicle intelligence support fraud investigations?

When lawfully obtained and relevant, vehicle data can contribute important context to collision, claims, and investigative review.

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