BoxLi and Restb.ai launch AI property data integration

BoxLi and Restb.ai announced a new integration that combines on-site data capture with computer vision to standardize property information for lenders and appraisal management companies. The companies say the workflow can cut manual review, improve consistency and speed appraisals as the industry moves toward UAD 3.6 readiness.

Why it matters: - The integration targets one of mortgage lending's slowest steps: collecting and validating property data for valuations and appraisals. - Standardized AI-driven property intelligence can reduce manual touchpoints, improve consistency and help lenders and AMCs make faster decisions. - The workflow is designed to support modernization efforts, including UAD 3.6 readiness and future digital appraisal processes.

What happened: - BoxLi, Clearbox's property data capture platform, and Restb.ai announced a new integration on August 24, 2026. - The combined solution links BoxLi's on-site data capture with Restb.ai's computer vision for mortgage lenders and appraisal management companies. - The integration is built to deliver standardized property data and AI-powered property insights in a single workflow.

The details: - The system uses AI-powered analysis to produce objective property characteristics, condition and quality assessments, room identification and measurement data. - Restb.ai's computer vision automatically extracts property attributes from imagery, reducing manual data entry and helping accelerate UAD 3.6, appraisals and general inspection completion. - The integration adds quality control and risk management by validating property features, condition and layout. - The workflow can help identify inconsistencies earlier and improve quality assurance for lending decisions. - The combined platform can reduce redundant site visits, minimize manual review and lower the cost of property data collection and valuation operations. - Standardized, structured property information can be used across portfolios to help lenders and AMCs scale operations. - Restb.ai's technology analyzes property photos to identify characteristics and other visual information that support appraisal and valuation workflows. - Restb.ai's solutions are used by lenders, appraisal technology providers, appraisal management companies and other real estate organizations.

Between the lines: - The integration reflects a broader push to replace subjective, labor-heavy valuation inputs with structured data and automated validation. - Clearbox and Restb.ai are positioning the workflow as both an efficiency play and a risk-control tool. - The partnership also suggests that property imaging and computer vision are becoming core infrastructure for digital appraisal modernization. - Joan Trice, CEO of Clearbox, said integrating Restb.ai's visual solutions into BoxLi will allow seamless collection of complex data sets, lower collection costs and increase credibility in the process. - Tony Pistilli, president of valuations at Restb.ai, said better valuation decisions depend on reliable, consistent property information and that the integration reduces manual work.

What's next: - Clearbox says the BoxLi platform will continue supporting UAD 3.6 and other valuation products. - Restb.ai said its technology will keep powering image recognition and data enrichment for real estate clients at scale. - The companies are aiming to help lenders and AMCs shorten loan processing timelines and expand digital appraisal workflows.

The bottom line: - The integration tries to turn property photos and field data into faster, more consistent valuation inputs with less manual work.