NETRA नेत्र for Insurance Companies
Process claims documents in minutes, not days
Insurance companies in India are drowning in paper — claims forms, hospital bills, discharge summaries, policy documents, and KYC records. NETRA extracts structured data from every Indian insurance document type, in every language, at API speed. Automate claims processing, reduce fraud, and settle faster.
What challenges do insurance companies face today?
Claims document flood
Every claim arrives with a stack of documents — hospital bills, discharge summaries, prescriptions, FIRs, and repair estimates. Manual review creates bottlenecks that delay settlements and frustrate policyholders.
Medical record processing in multiple formats
Hospital documents come in every format — handwritten prescriptions, typed discharge summaries, lab reports with mixed Hindi-English content. Extracting diagnosis, treatment, and cost data manually is slow and error-prone.
Policy document analysis at renewal
Analysing policy terms, exclusions, and coverage limits across thousands of active policies for underwriting, renewal, and compliance requires reading dense documents that vary by product, vintage, and insurer.
How does NETRA solve this for insurance companies?
Purpose-built capabilities for your industry.
Claims Automation
Upload claims documents in bulk. NETRA extracts claimant details, incident information, amounts, supporting document data, and maps them to policy terms — cutting claims processing time from days to minutes.
Medical Record Extraction
Extract diagnosis codes (ICD-10), treatment details, medication lists, lab values, and billing amounts from discharge summaries, prescriptions, and hospital bills — including handwritten documents in regional languages.
Document Classification
Automatically classify incoming documents into categories — KYC, claims form, hospital bill, FIR, repair estimate, policy copy. Route each document to the correct processing workflow without manual sorting.
Policy Parsing
Extract coverage limits, exclusions, waiting periods, co-pay terms, and renewal conditions from policy documents. Compare terms across policy versions and flag deviations from standard templates.
What does NETRA look like in practice?
A health insurer receives 2,000 claims per day, each with 5-10 supporting documents. Claims adjusters spend 45 minutes per claim on document review alone.
NETRA processes all documents per claim in under 30 seconds. Structured data is fed into the claims adjudication system, reducing reviewer time from 45 minutes to 5 minutes per claim.
A motor insurer needs to extract repair estimates, FIR details, and surveyor reports from claims that arrive as scanned PDFs and WhatsApp photos.
NETRA handles all document formats including low-quality photos. Repair amounts, vehicle details, incident descriptions, and surveyor assessments are extracted and cross-referenced automatically.
An insurer's underwriting team needs to review exclusion clauses across 10,000 active policies to assess exposure to a new regulatory change.
NETRA parses all 10,000 policies, extracts exclusion clauses, and generates a structured report showing which policies are affected — a task that would take weeks manually, completed in hours.
A claims team suspects duplicate claims based on similar hospital bills submitted from different policyholders.
NETRA extracts and normalises hospital bill data, enabling the fraud detection system to identify duplicate invoices, inflated amounts, and suspicious patterns across claims.
NETRA for Insurance Companies — Frequently Asked Questions
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