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AI-native insurance department for auto body shops
Rote handles the entire negotiation lifecycle between shops and insurance companies to help them recover thousands of dollars in denied claims. Shops today lose millions per year because they lack the resources to negotiate with insurance companies that undervalue repair costs. Rote's agents recover denied revenue by taking shop estimates and referencing technical repair data to autonomously file and defend shop claims.
Rote is an AI-native solution focused on auto body shops to address insurer denials by turning them into winning supplement arguments. The product emphasizes production of support with P-page citations and DEG precedent, aiming to expedite the denial appeal process within 10 minutes, and is currently in private beta.
Automates the process of countering insurer denials by generating supplement arguments with supporting citations (P-page citations and DEG precedent) and delivering them in about 10 minutes. It appears to be integrated into an insurance-related workflow for auto body shops, designed to streamline appeal documentation and improve reimbursement outcomes.
Who it’s for: Auto body shops and similar collision repair businesses that interact with insurer denials and require faster, citation-backed supplement arguments
private beta
Building the AI-native insurance department for auto body shops. CS @ Cornell | ex-SWE @ Apple (AI Tools & Automation). Previously built the fastest-growing dating app at Cornell.
Founder and CEO of Rote (YC W27). A CS student at Cornell, he built scaled iCloud Mail Intelligence at Apple and engineered the computer vision pipelines powering Toyota’s autonomous factory fleets. A 4x hackathon winner focused on agentic AI applications, he developed machine learning infrastructure for Raytheon and served as Vice President of the Cornell Entrepreneurship Club.
AI-native operating system for auto shops
AI Workers for Field Services
