AI Data Extraction for Insurance Documents

Eliminate manual data entry and streamline processing with Inaza’s Document Parser Model. This multimodal AI model extracts, structures, and validates data from PDFs, images, and scanned documents—automating underwriting, claims, and compliance workflows.
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Insurance Document Data Extraction
Valued Outcomes for Teams

Extract Document Data Instantly with AI

What value does Inaza's AI Document Data Extraction model provide to the various teams in Insurance?

Underwriting Teams

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Faster Policy Approvals – AI instantly extracts applicant details, reducing manual processing.
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More Accurate Risk Assessment – Standardized data ensures clean, structured inputs for better underwriting decisions.

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Claims
Teams

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Quicker Claims Processing – Automates the extraction of policyholder details, accident reports, and supporting documents.

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Error-Free Claims Handling – AI ensures critical claim data is captured correctly, reducing payout errors.

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Compliance Teams

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Regulatory Compliance – AI ensures required information is accurately extracted and stored.
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Eliminates Manual Data Entry – Saves time and reduces human errors by automating document processing.

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How It Works

How AI-Powered Document Parsing Works

Inaza’s Document Parser Model seamlessly extracts and structures key data from various insurance documents.

AI Document Analysis

Processes PDFs, images, forms, and scanned documents, extracting relevant text and data.
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Data Structuring & Standardization

AI converts extracted text into structured, machine-readable formats for seamless integration.
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Validation & cross-checking

Automatically verifies extracted data against expected outputs from our trained insurance models to ensure accuracy.
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Seamless 
Integration

Parsed data is automatically routed to underwriting, claims, and compliance teams.
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