AI for Finance & Underwriting

Betsy AI mortgage advisor uses conversational AI to guide users through mortgage pre-approval, refinancing, and home equity products.

AI-powered risk scoring and fraud detection that underwrites lease insurance policies, algorithmically assessing renter risk across $14B+ in insured leases.

Proprietary AI model combines LLMs with big-data ML, trained on trillions of data points (rents, property financials, sales histories, demographics, spending patterns of 250M+ U.S. adults) to automate acquisitions analysis, underwriting, and investment memos.

AI-powered document classification and data extraction using OCR, computer vision, and ML. Classifies 1,600+ financial document types, captures key data fields, and detects fraud. Data accuracy insured by Lloyd's of London.

ML models assess risk by analyzing historical data, credit scores, and financials. Automated parsing of offering memorandums, rent rolls, operating statements, construction budgets, and tax returns. Predictive analytics for market volatility and cash flow forecasting.

Lev AI trained on millions of financing documents and market transactions. Extracts structured data with 95% accuracy, automates approval processes. Lender-matching engine leverages 7,000+ lender profiles. SOC 2 Type II certified.

Patented AI technology for automated document review, file QC, compliance checks, and closing preparation. AI-powered file reviews deliver instant, accurate results. Automates coordination between lending and settlement teams.

Proprietary AI trained on multifamily documents extracts and categorizes financial data from rent rolls, T12 operating statements, and offering memos directly into Excel underwriting models. Claims 98% accuracy on rent roll extraction.

CNN/RNN-based OCR combined with custom NLP models extracts structured data from CRE documents including rent rolls, T12 operating statements, ACORD insurance certificates, and utility bills. Self-learning models retrain on user corrections, improving accuracy for institution-specific document formats.

Uses Google Gemini LLM to consolidate unstructured CRE data (rent rolls, T12 financials, comps, photos) into branded offering memorandums, BOVs, and loan packages. Combines generative AI for narrative with NLP for document data extraction. Human-in-the-loop review on every page.

Computer vision models assess property condition from photos (categorizing Excellent through Very Poor). Neural networks estimate rental income with 36-month forecasting. Predictive analytics generate investment potential scores, price flexibility scores, and flip potential analysis across 140M+ U.S. properties.

JunieAI automates investor relations workflows including monitoring LP activity, transcribing voice notes, in-app chat for document actions, and prioritizing investor outreach using a decade of private markets data.

Agentic AI autonomously manages end-to-end mortgage tasks including document review, data extraction, bank statement forensics, and underwriting compliance. Proprietary SOLO framework combines general LLMs with domain-specific mortgage models.

Blend Autopilot is an agentic AI that completes loan origination reviews in 15 seconds, handling real-time data validation, discrepancy detection, document review, and guided borrower follow-ups.