Inscribe
Assess financial documents for alteration and AI-generated fraud
Linked from inscribe.ai · checked 30 Oct
- Tool type
- AI financial-document fraud detection
- Made for
- Fraud, risk and financial-services operations teams
- Runs on
- Web application and API
What it does
Inscribe is an AI document-fraud platform for financial-services teams. It examines bank statements, pay stubs, tax forms and other application documents using multiple detection methods. Findings include risk levels and explanations, with cross-document reasoning to help analysts investigate inconsistencies.
Teams can configure checks around their procedures and connect the platform through a web application or API. It supports underwriting, onboarding and account-verification work. Results are risk signals for review, not proof that a person committed fraud; pricing depends on document volume and selected capabilities.
What it can do
- Document fraud detection
- Cross-document reasoning
- Risk scoring
- Investigation explanations
- Configurable checks
- API integration
Before you choose
- Detection findings can include false positives and require investigation.
- Advanced analysis, collection and decisioning depend on the selected plan.
Listed under
Get started
- Define the document types and evaluation criteria.
- Run a pilot with representative documents.
- Configure review thresholds and operational integrations.
Plans and prices
Base and Premium are quoted by document volume and required capabilities. The provider offers a complimentary pilot with agreed evaluation goals; it is not a permanent free plan.
Inscribe doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
Ratings and reviews
No ratings for Inscribe yet.
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- inscribe.ai: product, pricing and policy pages
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- Human review
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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.