TenantScreenGhost: Eviction Risk Predictor
AI-powered tenant risk scoring for landlords and property managers using public records, payment history, and behavioral signals to predict eviction likelihood before signing leases.
The Problem
Property managers make tenant decisions on incomplete information, relying on credit scores alone. They can't easily cross-reference eviction history, court records, or payment pattern anomalies across jurisdictions. Bad tenant placements cost $5-15K per eviction cycle, yet existing screening tools are fragmented and miss predictive signals.
Target Audience
Independent landlords (50+ units), small property management companies (10-100 units), and REITs managing mid-market portfolios who do their own tenant screening or want to verify agency recommendations.
Why Now?
Eviction moratoriums ended, rents are volatile, and AI can now process fragmented public records at scale. Landlords are paranoid about tenant quality post-pandemic.
What's Missing
Existing solutions focus on credit/background checks but ignore eviction history patterns and anomaly detection. Court records are fragmented by county and require manual lookup.
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