About

Starting Semester: Fall 2025
Assigned: No
Location: Atlanta

Claims Concierge Inc

Client Profile

Claims Concierge Inc (www.claimsconcierge.io) is a disruptive technology company in the auto property damage space, founded in January 2025 and launched in May 2025. The company provides AI-enabled services that help consumers navigate the property damage claims process and maximize their recovery after vehicle losses.

Claims Concierge addresses a significant market inefficiency where insurance companies systematically undercompensate drivers for their vehicles by making the claims process deliberately difficult. The company has already helped hundreds of drivers recover over $1 million in additional compensation from insurance companies since launch.

The company's core value proposition centers on evening the playing field between consumers and insurance companies through guided claims navigation, strategic pushback assistance, and independent vehicle appraisals for diminished value and total loss claims.

Project Description

Claims Concierge's competitive advantage relies heavily on accurate vehicle valuation models that can effectively challenge insurance company appraisals. Currently, the company operates multiple valuation models that integrate retail and wholesale vehicle data, repair cost data, and vehicle history information to calculate pre-accident vehicle value, post-accident value, and the resulting loss in vehicle value owed to customers.

While the existing models have proven successful in recovering significant value for clients, there is substantial opportunity to enhance the accuracy, reliability, and defensibility of these appraisals through advanced statistical analysis and modeling techniques.

The company is seeking to partner with GA Tech to develop an optimized vehicle appraisal model that will:



- Improve the accuracy of pre-accident and post-accident vehicle valuations

- Enhance the statistical rigor and defensibility of appraisal methodologies

- Integrate multiple data sources more effectively (retail/wholesale pricing, repair costs, vehicle history)

- Develop predictive models for diminished value calculations

- Create automated quality assurance processes for appraisal accuracy

-Establish benchmarking capabilities against industry standard valuation methods

Skills

Statistical modeling, data analysis, machine learning, predictive analytics, automotive industry knowledge, regression analysis, data integration, model validation, and business process optimization.