InQuery provides AI-powered software to automate medical record review, indexing, and case summarization for insurance carriers and legal firms. The platform accelerates decision timelines by instantly extracting key facts and organizing unstructured documents. This automation reduces case preparation costs and compliance risk by allowing experts to focus on high-value analysis.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Claims adjusters, attorneys, and medical examiners face challenges in efficiently processing claims due to the high volume of unstructured data and manual tasks involved in data extraction and document review. This leads to increased processing times, higher operational costs, and potential inaccuracies in claim settlements.
Solution
InQuery is an AI-powered claims processing system designed to automate data extraction and document review, significantly reducing manual effort and processing time for claims professionals. By leveraging natural language processing (NLP) and large language models (LLMs), InQuery extracts and populates caseload details from documents, PDFs, and phone transcriptions, eliminating manual data entry. The system also monitors claim communications and deadlines, generating personalized claim notice drafts and follow-up reminders. InQuery provides cross-claim analytics, offering insights on response times, settlement amounts, and provider favorability to enable data-driven decisions.
Target Audience
InQuery targets claims adjusters, attorneys, and medical examiners within carriers, third-party administrators (TPAs), independent medical examiners (IMEs), and law firms.
Features
- Instant data extraction and summarization from documents, PDFs, and phone transcriptions using LLMs
- Automated generation of personalized claim notice drafts, including claim acknowledgement, Reservation of Rights, and Denial of Coverage letters
- Automated follow-up reminders based on claim communications and deadlines
- Cross-claim analytics providing insights on response times, settlement amounts, and provider favorability
- Transparent tracking and citation of source documents during summarization for verification and auditing