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Inscribe ai

Inscribe AI is a document fraud detection platform built for fraud, risk, and operations teams at banks, fintechs, credit unions, and lenders. Inscribe detects deepfake, altered, and AI-generated documents across underwriting, account opening, and bank account verification workflows, preventing $80M in fraud losses for customers including Plaid, Ramp, and Logix Federal Credit Union.

Location:San Francisco, USA
Founded: 2017

Fraud Solution Profile

Inscribe AI is a document fraud detection platform purpose-built for fraud, risk, and operations teams at banks, fintechs, credit unions, and lenders. Fraudsters now use AI to produce convincing fake documents in seconds. According to Inscribe’s 2026 State of Document Fraud Report, 1 in 16 documents submitted to financial services workflows shows signs of fraud, and AI-generated document fraud grew 5x in 2025. Inscribe is built to stay ahead of that curve.

How Inscribe Detects Document Fraud

Inscribe runs four layers of analysis on every document to catch what manual review and legacy systems miss:

  • Forensic analysis: examines document structure and metadata for manipulation signals, including prior versions, inconsistent fonts, and artifacts left by editing software.
  • Network-based detection: compares each submission against Inscribe’s proprietary database, the largest document network in financial services, built from millions of documents processed across a wide range of institutions.
  • Semantic analysis: checks document content for internal inconsistencies such as figures that do not add up, conflicting dates, or descriptions that do not match the document type.
  • Perceptual analysis: detects visual anomalies that signal AI generation or image manipulation, including deepfake indicators that forensic methods alone would miss.

Trust Scoring and Configurable Workflows

Inscribe assigns every document a trust score reflecting the severity of fraud signals detected, the document’s familiarity within the network, and whether findings are anomalous. Teams use the score to automate accept and reject decisions, or route edge cases to manual review. Detection thresholds are configurable so Inscribe flags what each team’s SOPs call for, rather than generating noise.

Workflows Inscribe Supports

  • Underwriting: catches altered bank statements, fabricated pay stubs, and AI-generated documents before a bad loan is approved.
  • Account Opening (KYC/KYB): verifies business legitimacy and prevents fraudulent account openings by analyzing documents and enriching applications with public data.

Bank Account Verification: confirms account details are legitimate before funds go out the door.

Results

  • $80M in prevented fraud losses (Logix Federal Credit Union)
  • 90% reduction in manual document review time (BCU)
  • Document review time reduced from 1-2 days to 30 seconds (Plaid) 

Inscribe integrates via API or partner integrations and holds SOC 2 Type II and ISO 27001 certifications.

 Customers

Logix Federal Credit Union and BCU

 Industry
Ecommerce, Financial Services
 Primary Functionality
Identity & Verification
 Fraud Type
KYC & AML, New Account Fraud, Synthetic Identity Fraud
 Technology
Machine Learning, Rules Engine