AI-Powered Vehicle MMLP Recognition

Instantly identify a vehicle’s make, model, and license plate from images with Inaza’s MMLP Detection Model. This AI-powered vision model enhances underwriting, claims verification, and fraud detection.
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AI Powered MMLP Recognition
Valued Outcomes for Teams

Real-Time Image MMLP Detection

What value does Inaza's MMLP Detection model provide to the various teams in Insurance?

Underwriting Teams

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Accurate Vehicle Identification – AI ensures correct vehicle details for precise policy pricing.

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Prevent Misrepresentation – Detects discrepancies between declared and actual vehicles.

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Claims Teams

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Faster Claims Processing – Instantly verifies vehicle details in accident reports and claims.

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License Plate Matching for Fraud Prevention – Detects repeat claims using the same vehicle across different policies.

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How It Works

How AI MMLP Detection Works

Inaza’s MMLP Detection Model provides insurers with instant, AI-driven vehicle verification.

AI-Powered image Processing

Scans vehicle images to extract make, model, and license plate information.
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Real-time
Cross-Checking

Labels damage by type, severity, and location, ensuring insurers have clear, actionable insights.
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Fraud Detection & Data Validation

Identifies inconsistencies in vehicle details to flag potential fraud.
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Instant Claims & UW Integration

Works within existing workflows for instant, automated vehicle verification.
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