Appraiva uses image analysis to identify distressed properties from publicly available photos. This allows real estate investors to find off-market leads at scale by identifying properties that may be undervalued or in need of repair.
Funding
Funding not disclosed
Founders
Product
Problem
Real estate investors often spend significant time and resources manually searching for distressed properties, either by physically "driving for dollars" or by hiring virtual assistants. This process is inefficient and costly, limiting the number of potential leads they can identify and evaluate.
Solution
Appraiva provides an AI-powered solution that automates the process of identifying distressed properties using street-view imagery. The platform analyzes thousands of images per minute, scoring properties based on visual indicators of distress such as roof damage, wall deterioration, and neglected maintenance. By applying AI-driven visual condition analysis, Appraiva enables investors to instantly access, review, and target rundown properties that meet their investment criteria, saving time and money compared to traditional methods. The platform combines this imagery analysis with tax assessor data and owner contact information to provide a comprehensive lead generation tool.
Target Audience
Appraiva targets real estate investors, wholesalers, and other real estate professionals who are looking to identify and acquire distressed properties for renovation or investment purposes.
Features
- AI-powered analysis of street-view imagery to detect property distress
- Automated lead scoring based on visual condition analysis
- Identification of off-market properties with high investment potential
- Integration of tax assessor data and owner contact information
- Ability to scan any zip code or county instantly
- User-defined "buy box" to filter properties based on investment criteria