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reAlpha Strengthens Mortgage Platform with Upgraded Internal AI Loan Officer Assistant Capabilities

DUBLIN, Ohio, Sept. 09, 2025 (GLOBE NEWSWIRE) — reAlpha Tech Corp. (Nasdaq: AIRE) (鈥渞eAlpha鈥 or the 鈥淐ompany鈥), an AI-powered real estate technology company, today announced an upgrade to its internal AI Loan Officer Assistant, enhancing the Company鈥檚 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鈥檚 mortgage professionals. This upgrade continues to shift manual work away from loan officers, enabling them to focus more on advising and supporting borrowers.

5 min read

DUBLIN, Ohio, Sept. 09, 2025 (GLOBE NEWSWIRE) — reAlpha Tech Corp. (Nasdaq: AIRE) (鈥渞eAlpha鈥 or the 鈥淐ompany鈥), an AI-powered real estate technology company, today announced an upgrade to its internal AI Loan Officer Assistant, enhancing the Company鈥檚 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鈥檚 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 (鈥淥CR鈥) 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.

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GlobeNewswire, Inc.

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