{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2040c600bf3e4e93937461ab204c964b\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2040c600bf3e4e93937461ab204c964b-addcb6e2489afa2d.gif","duration":660.965,"title":"Fast Automated Property Valuation for Lenders","description":"This Loom presents an AI assisted comp analysis tool for KV Capital to quickly and defensibly value properties for lender underwriting. The system extracts listing fields from PDFs with confidence scores and flags any uncertain values for user confirmation, then runs a deterministic Python engine to find comps and compute a conservative headline estimate and a higher point estimate, returning results in about 25 to 100 milliseconds. It explains comp exclusions and provides AI generated “rationales” grounded entirely in deterministic calculations, while refusing to calculate when there are insufficient comparable sales. A backtest on 500 holdout sales showed a median error of 9.8%, with 13 out of 400 refused due to insufficient comparables, using King County, Washington public sales data from 2014 and 2015."}