Bricked AI Launches Tool to Automate Real Estate Comping

- Bricked AI's platform sources data directly from the Multiple Listing Service (MLS), county records, and public real estate sites, using image analysis to evaluate a property's condition and assign renovation scores to its curb appeal, exterior, kitchen, and bathrooms. - The tool automates the traditionally manual Comparative Market Analysis (CMA) process, where agents spend hours or days gathering data on recently sold homes and making subjective adjustments for differences in features and condition. - A core feature is a property-specific repair calculator that aggregates local material and labor costs from the web to generate itemized estimates, moving beyond generic per-square-foot averages. - The system generates both an After Repair Value (ARV) for renovated properties and a Current Market Value (CMV) for as-is homes, allowing users to toggle between valuation scenarios. - Bricked AI's technology is an application of advanced Automated Valuation Models (AVMs), which are increasingly integrating AI to analyze vast datasets for more objective and accurate property assessments. - This type of vertical AI application aligns with current venture capital trends; in 2024, AI-powered proptech startups attracted $3.2 billion in funding as investors focus on companies automating specific industry workflows. - The platform provides nationwide coverage, including in non-disclosure states like Texas, which have historically presented data challenges for automated comping tools.