InQuery

About InQuery

InQuery is an AI-native claims processing system that automates data extraction and document review for claims adjusters, attorneys, and medical examiners, significantly reducing manual entry and processing time. By leveraging natural language processing, it enhances claims capacity and lowers operational costs, enabling teams to manage more claims efficiently while improving accuracy and customer communication.

```xml <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. </problem> <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. </solution> <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 </features> <target_audience> InQuery targets claims adjusters, attorneys, and medical examiners within carriers, third-party administrators (TPAs), independent medical examiners (IMEs), and law firms. </target_audience> ```

What does InQuery do?

InQuery is an AI-native claims processing system that automates data extraction and document review for claims adjusters, attorneys, and medical examiners, significantly reducing manual entry and processing time. By leveraging natural language processing, it enhances claims capacity and lowers operational costs, enabling teams to manage more claims efficiently while improving accuracy and customer communication.

Where is InQuery located?

InQuery is based in San Francisco, United States.

When was InQuery founded?

InQuery was founded in 2023.

How much funding has InQuery raised?

InQuery has raised 500000.

Location
San Francisco, United States
Founded
2023
Funding
500000
Employees
5 employees
Major Investors
Y Combinator

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InQuery

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Executive Summary

InQuery is an AI-native claims processing system that automates data extraction and document review for claims adjusters, attorneys, and medical examiners, significantly reducing manual entry and processing time. By leveraging natural language processing, it enhances claims capacity and lowers operational costs, enabling teams to manage more claims efficiently while improving accuracy and customer communication.

inquery.ai300+
Founded 2023San Francisco, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (5+)

No team information available.

Company Description

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.

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

Target Audience

InQuery targets claims adjusters, attorneys, and medical examiners within carriers, third-party administrators (TPAs), independent medical examiners (IMEs), and law firms.

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