[KongchangAI]
Product

Policy Lens

An open-source local AI tool for analyzing insurance terms. It supports uploading policy PDFs to automatically extract key parameters such as coverage amounts, copayments, deductibles, and waiting periods, detects hidden exclusions and claim rejection risks, and provides RAG-based interactive policy question answering, running entirely locally to protect privacy.

Timeline (last 90 days)

Oct 16

Developer manjushapirati030 submitted the Policy Lens project in the Hacktoberfest open-source AI challenge.

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Oct 16

The Policy Lens backend uses Ollama to drive the Gemma model for local inference, and sensitive files never leave the local machine.

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Oct 16

Policy Lens supports uploading PDF policies such as health insurance, life insurance, auto insurance and property insurance, and automatically extracts key parameters such as coverage limits, co-pay, deductible and waiting period.

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Oct 16

Policy Lens has exclusions and 'red flag' risk detection, automatically scanning contracts to flag hidden exclusion clauses, restrictive conditions and risk points that may lead to claim denial.

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Oct 16

Policy Lens provides interactive Q&A, allowing users to ask questions based on the content of a specific policy and receive context-relevant answers, using a RAG (retrieval-augmented generation) style of interaction.

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Oct 16

The B2B SaaS subscription price envisioned by the author is between $29 and $99 per month.

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Oct 16

The B2C pricing model is a single microtransaction, $5 to $10 per report.

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Oct 16

The B2B direction targets independent insurance brokers, financial planners, corporate HR benefits teams, and legal and public adjusting institutions.

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All Facts (8)

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