Real estate appraisal software company Aivre has integrated with Restb.ai’s computer vision and image recognition technology, cutting the time it takes to complete an appraisal by more than half, the company said.
According to a new case study released, appraisers using Aivre now save more than three hours per appraisal by automating time-intensive steps such as photo classification, comparable scoring and report generation. That productivity boost could double the number of appraisals completed in a day, according to Aivre.
“We’re taking the first AI trained to autofill reports in UAD language to the next level through our joint efforts with Restb.ai,” said Jake Lew, Aivre founder and CEO. “Aivre frees appraisers from repetitive tasks, allowing them to focus on their expertise and deliver faster, more precise appraisals with greater efficiency.”
Lew noted that manual, repetitive work has long weighed down appraisers. From gathering property characteristics and validating floor plans to selecting comps and populating photo fields, the traditional workflow is filled with time sinks and opportunities for errors.
Restb.ai, a trusted innovator in computer vision AI for the mortgage industry, integrates its market-leading computer vision technology into Aivre’s platform to fully or partially automate many of these time-consuming steps. Appraisers can instantly extract and classify key property features from photos, receive condition and quality scores for subject and comparable properties and auto-populate GSE-compliant forms without manually inputting or verifying the data.
“These gains aren’t just about speed – they’re also about accuracy,” said Nathan Brannen, chief product officer, Restb.ai and co-author of the Case Study. “By automating more of the manual data fill appraisers enter into each report, we reduce human errors, increase consistency, and ultimately, enable appraisals to spend their energy analyzing and valuing the property.”
