reAlpha Tech Corp. an AI-powered real estate technology company, announced an upgrade to its internal AI Loan Officer Assistant, enhancing the Company’s ability to streamline mortgage operations by automating document classification, extraction, and validation. The assistant, which could previously only reduce manual document preparation and reconciliation time at the loan processing stage, now functions as a digital co-pilot for reAlpha’s mortgage professionals. This upgrade continues to shift manual work away from loan officers, enabling them to focus more on advising and supporting borrowers.
The upgraded internal assistant supports automated classification of more than 75 types of borrower documents, spanning income, identification, property, and loan records. It applies optical character recognition (“OCR”) and generative AI to extract and validate critical borrower fields. Research from True AI, a mortgage automatic platform, shows that AI-powered OCR systems generally achieve around 95 percent accuracy initially (compared to an average 80 percent accuracy with human data classification and extraction) and can improve beyond 99 percent when calibrated to lender-specific processes and document sets and trained over several months.1 By extending coverage across the documents most frequently used in mortgage origination, the system provides a consistent and reliable foundation for loan processing.
reAlpha expects the upgraded internal AI Loan Officer Assistant to reduce the manual review time per loan, which would enable loan officers to review more loans per day. Cutting the application review time also means that reAlpha Mortgage’s loan officers have more time dedicated to customer interaction and less time spent on repetitive back office tasks.
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The total mortgage origination volume in the U.S. exceeded $1.79 trillion in 2024 and is projected to reach $2.3 trillion in 2025, according to the Mortgage Bankers Association.2 By embedding AI into its mortgage operations, reAlpha aims to capture meaningful efficiency gains at scale within this multi-trillion-dollar industry. reAlpha’s upgraded internal AI Loan Officer Assistant supports this effort by streamlining workflows and addressing industry-wide cost and speed challenges related to a lack of automation.
The internal assistant also functions as a critical quality-control layer, automatically flagging inconsistencies and validating data before files move into underwriting. This human-in-the-loop model allows AI to manage repetitive, error-prone work while mortgage professionals provide oversight, ensuring compliance and trust.
“We believe that this upgrade represents a significant step forward in how we equip our teams to serve borrowers,” said Jamie Cavanaugh, CEO of reAlpha Mortgage. “Our loan officers gain the time and confidence to focus on customer needs, while the platform manages the accuracy and efficiency behind the scenes. The combination of time savings, cost efficiency, and improved borrower experience demonstrates exactly how AI can deliver measurable value for our team and our customers. It is the kind of innovation that directly supports reAlpha’s national rollout strategy as we continue scaling our platform into new markets.”
“Innovation at reAlpha isn’t theory—it’s execution. By embedding advanced agentic AI into our platform, we believe that we can demonstrate how breakthrough technology can deliver smarter, faster, and more human-centered mortgages,” added Vijay Rathna, CTO of reAlpha.
Looking ahead, reAlpha is developing advanced upgrades that will deliver automated borrower income analysis which is one of the most complex and time-consuming steps in the loan origination process. The system is being designed to streamline income verification, reduce manual review, and drive accuracy and consistency across files. These innovations further strengthen the Company’s ability to advance its broader mission of building an AI-powered, end-to-end homebuying experience.
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