FoxyAI, a producer of real estate visualization and property intelligence, announced a collaboration with auction.com, the online marketplace focused exclusively on the sale of residential bank-owned and foreclosure properties via online auctions and live auction events. This collaboration marks a significant advancement in the use of AI technology to optimize property marketing and enhance the overall real estate process.
Auction.com will leverage FoxyAI’s Condition Score, Quality Score, Image Quality Score, Room Classification and Scene Classification models into its analytics platform. This integration aims to refine the accuracy of property listings and provide additional insight by assessing the condition of properties with unparalleled precision. Additionally, this collaboration enables auction.com to analyze past sales data, identifying opportunities to improve their sale strategies.
“We are excited to work with Auction.com, a company that shares our focus and commitment to AI integration,” said Vin Vomero, CEO of FoxyAI. “Their dedication to test cutting edge technology to benefit their platform aligns perfectly with our mission at FoxyAI.”
The proprietary FoxyAI Condition Score analyzes property media and provides a condition assessment on a six-point scale, ranging from Brand New to Heavy Damage/Not Livable. The FoxyAI Quality Score analyzes property media and provides a quality assessment on a six-point scale, ranging from Luxury to Basic. Both are based on the Uniform Appraisal Dataset scoring system used by Fannie Mae and Freddie Mac for underwriting.
The FoxyAI Image Quality Score scores image quality on a continuous one to six scale, with low scores for blurry or extremely close-up images. Images scoring below three are excluded from analytics, ensuring only high-quality images are used. The FoxyAI Room Classification detects room types for easy classification, organization and search from photos/ media. Lastly, the FoxyAI Scene Classification detects scene types for streamlined classification, organization, and search from photos/media.
