93.3% of multifamily operators reported fraud in the last twelve months, and 84.3% specifically saw falsified pay stubs (NMHC 2024 Pulse Survey). Pick an applicant below to see how Padgea screens one.
Genuine applicant
Everything reconciles. Should pass cleanly.
Altered pay stub
Real stub, edited income. The common case.
Fabricated identity
Generated documents, thin history.
Known to the network
Caught at another operator last month.
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Layer 1 — nine-signal rules engine
Layer 2 — GPT-4o document forensics
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Layer 3 — the cross-tenant network
SHA-256
one-way hash only
Verdict
returned, never raw data
Consent
checked on every call
0
raw records shared
How it stays legal under multi-tenancy. Operator A's raw applicant data never reaches Operator B. We store a one-way hash of the identifying signal, so a member can check a value they already hold but can never enumerate anyone else's applicants. The lookup returns a verdict — never who reported it.
What one prevented fraud is worth
Portfolio
Applications / yr
Est. fraudulent (1 in 8)
Avoidable exposure
Sources: NMHC 2024 Pulse Survey — 93.3% of operators experienced fraud; 84.3% saw falsified pay stubs; large operators write off an average of $4.2M in bad debt annually, roughly 24.5% of it fraud-attributable; 23.8% of eviction filings trace to fraudulent applications. Snappt's published analysis puts altered documents at roughly 1 in 8 applications and the average eviction at $7,685.
Padgea Inc. · Fraud intelligence demonstration. The rules engine and document forensics are live in production. The cross-tenant network layer is built and consent-gated; it populates as operators join. Credit bureau integration is built to the seam and pending API credentials.
