BoxLi, Clearbox's property data capture platform, has integrated with Restb.ai's computer vision technology to combine on-site data collection with AI-powered property analysis for mortgage lenders and appraisal management companies. The partnership, announced August 24, 2026, aims to reduce manual touchpoints in the appraisal workflow while giving valuation professionals standardized property data earlier in the process.
The integrated solution uses AI to analyze property imagery for objective characteristics, condition and quality assessments, room identification, and measurement data. That means fewer manual data entry steps and more consistent property intelligence across appraisal and valuation workflows.
"Partnering with Restb.ai and integrating their visual solutions into our BoxLi data collection app will allow seamless collection of complex data sets, lower data collection costs and increase credibility in the process," said Joan Trice, CEO of Clearbox.
How the integration works
Restb.ai's computer vision automatically extracts property attributes from photos taken during on-site inspections. This reduces manual data entry and helps accelerate UAD 3.6 compliance, appraisals, and general inspection completion. For lenders, the faster turnaround can shorten loan processing timelines.
The integration also adds a quality control layer. AI-powered validation of property features, condition, and layout can help lenders and AMCs spot inconsistencies earlier in the process, supporting more confident lending decisions.
"Better valuation decisions depend on having reliable, consistent property information," said Tony Pistilli, president of valuations at Restb.ai. "This integration gives lenders, AMCs and appraisers more objective property intelligence while reducing manual work."
Cost and workflow impact
By pairing BoxLi's mobile capture with Restb.ai's automated analysis, the solution can reduce property inspection times, minimize manual review efforts, and lower overall data collection costs. The structured data points can be applied across portfolios, helping lenders and AMCs scale operations while preparing for UAD 3.6 and future digital appraisal workflows.
Restb.ai, owned by Clear Capital, processes more than 2 billion property photos monthly. Its technology is used by lenders, appraisal technology providers, and appraisal management companies. Clearbox's BoxLi platform combines LiDAR-powered capture, ANSI-compliant floor plans, and AI-assisted property intelligence.
For professionals in AI for Real Estate & Construction, the integration signals how AI is moving from standalone analysis tools into the field itself - where data is first captured. Appraisers and inspectors using BoxLi will see AI analysis applied directly to the photos they take on site, rather than in a separate post-inspection step.
Why this matters for real estate and construction professionals
For appraisers, inspectors, and valuation teams, the practical takeaway is less time on data entry and more time on judgment calls that require human expertise. The integration reduces subjectivity in property assessments by standardizing how visual data is interpreted, which can help professionals produce more defensible valuations. For those managing appraisal workflows, the earlier availability of objective property intelligence means fewer back-and-forth requests for additional information and faster cycle times on loan processing.
Professionals looking to build on this trend can explore an AI Learning Path for Real Estate Brokers to understand how AI-driven property analytics apply across brokerage and valuation work.
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