Layered document analysis
Combines forensic inspection of fonts, metadata, and file history with network, semantic, and pixel-level perceptual checks to surface different signs of manipulation.
AI document fraud detection for banks, fintechs, lenders, and credit unions.
Inscribe is an AI document fraud detection platform for financial services. It analyzes documents used in lending, onboarding, identity and business verification, and account verification to identify signs of forgery, alteration, or AI generation. Results combine multiple forms of evidence into risk levels and plain-language findings that fraud and operations teams can review and use in decisions. Inscribe is available through a web app, API, and partner integrations, with checks configurable to an organization’s workflows.
Combines forensic inspection of fonts, metadata, and file history with network, semantic, and pixel-level perceptual checks to surface different signs of manipulation.
Connects signals across documents in an application rather than evaluating each file only in isolation; an assistant can explain findings and answer follow-up questions.
Returns a consolidated risk level and presents detected issues in plain language, with relevant insights ranked by severity.
Checks can be configured around the team’s procedures. Base includes basic decision-engine configuration; Premium adds custom insights and advanced configuration.
Public data checks can add identity, business, and address verification signals to applicant profiles alongside document analysis.
Teams can use the web app, API, or partner integrations to connect document analysis with existing workflows.
Review bank statements, pay stubs, tax forms, and financial statements for manipulation or inconsistencies before making a credit decision.
Assess business filings and supporting documents, with business and identity data signals, when verifying a company for account opening.
Evaluate identity and supporting documents such as driving licenses, social security cards, utility bills, and tax forms during onboarding.
Check bank statements and other supporting documents for modified account details or fabricated information before funds are sent.
Use risk levels and ranked findings to prioritize cases for human review and support more consistent investigation across document-heavy workflows.
Pricing is custom and based on document volume and the features required. Inscribe offers Base and Premium plans, with quotes available for specific needs.
Yes. Inscribe offers a complimentary four-week pilot using a representative sample of the team’s documents. It includes analysis, technical performance results, live user testing, and a business case review.
Deployment options include a web app, API, and partner integrations. Inscribe says it integrates with loan origination and orchestration platforms.
Examples include bank statements, pay stubs, W-2s, tax forms and transcripts, invoices, business formation documents, identity documents, utility bills, and financial statements. The relevant documents depend on the workflow.
The platform returns a risk level with descriptions of detected findings and relevant insights ranked by severity. Flagged cases can be reviewed by a human.
No. In partner workflows, Inscribe supplies document fraud intelligence. The customer’s decisioning or orchestration platform continues to apply its rules and determine the outcome.
Os dados de tráfego são apenas para referência.