AssetVal, a valuation company known for delivering high-quality broker price opinions (BPOs), is now integrated with Restb.ai, an innovator in computer vision AI for the mortgage industry – a move which will elevate the consistency and accuracy of AssetVal’s residential BPO offerings.
This AI-driven enhancement enables AssetVal to validate the condition and quality of both subject properties and comparables, helping reduce valuation drift and deliver more consistent price opinions at scale, the company says in a release.
BPOs – long a staple of real estate’s valuation ecosystem – are often vulnerable to variation between agents and assignments. Deploying Restb.ai’s property intelligence capabilities helps AssetVal deliver a new level of objectivity and precision to BPO analysis, modernizing the process while maintaining its trusted human foundation.
“At AssetVal, we’ve built our reputation on delivering high-quality valuations – and BPOs are no exception,” says Tami Rund, CEO at AssetVal, in the release. “Restb.ai’s AI solutions allow us to validate property condition and quality more consistently to improve BPO accuracy, giving our clients greater confidence in every price opinion we deliver.”
The integration of Restb.ai will strengthen the quality of AssetVal’s BPOs, as it will enable lenders and servicers to detect property conditions and quality more consistently and objectively.
The integration will also improve BPO accuracy: By more accurately matching comparables of similar condition and quality, AssetVal improves alignment with true market value.
The integration will also help reduce valuation drift. The new capabilities help mitigate inconsistencies between multiple BPOs on the same property, an ongoing challenge in high-volume servicing environments.
“AssetVal is setting a new standard for BPO quality,” says Tony Pistilli, president, valuation at Restb.ai. “By embedding our computer vision capabilities, they’re enabling their broker network to focus on valuation insights instead of subjective image review, all while improving consistency across the board.”