Inscribe is an AI document fraud detection platform built specifically for the financial services industry, primarily serving banks, fintech companies, lenders, and credit unions. Its core goal is to help these institutions detect document fraud in key workflows such as underwriting, customer onboarding, KYC/KYB, and bank account verification.
Primary Uses
Inscribe is used to identify forged, tampered, and AI-generated financial documents, such as fake bank statements, forged pay stubs, fraudulent tax forms, altered invoices, and synthetic business documents. These documents are commonly used to verify income, identity, assets, and financial status, making them prime targets for fraudsters.
Main Capabilities
The platform combines multiple detection methods, including forensic analysis, network analysis, semantic analysis, perceptual analysis, public data analysis, and custom signals. These methods work together to uncover inconsistencies that a single method might easily miss. Inscribe's detectors are not simple adaptations of general-purpose tools, but are specifically optimized for the financial documents reviewed daily, such as bank statements, pay stubs, and tax forms.
The platform supports configuring check rules based on an organization's risk definitions, capturing both clear fraud signals and flagging risk indicators that affect decisions. Each finding comes with a risk level, a clear detection description, and the most relevant insights sorted by severity, helping analysts quickly understand the situation and take action.
Inscribe can reason across an entire application package, connecting signals across different documents like an experienced analyst. When deeper investigation is needed, the platform's Assistant can explain detection results and answer follow-up questions, helping teams understand complex applications faster.
How to Use
Inscribe can be integrated directly into a team's existing loan origination systems, orchestration platforms, and other technology stacks via API or partner integrations, keeping engineering overhead low. Users can also schedule a demo to learn about the free document fraud audit service.
Use Cases
- Underwriting: Catch tampered bank statements, forged pay stubs, and AI-generated documents before loan approval.
- Onboarding and KYC/KYB: Verify business legitimacy, prevent fraudulent accounts, and strengthen every application by analyzing documents and enriching identity and business data.
- Bank account verification: Confirm account details before funds are transferred, and detect altered account numbers and forged bank statements.
- Other workflows that require documents to establish trust, verify identity, or make important decisions.
Limitations and Security
The platform supports role-based access control, audit logs, and data encryption, and provides dedicated support for enterprise security reviews. Its securitycontrols have undergone independent audits covering security, availability, and confidentiality, and comply with internationally recognized information security management standards. The Trust Center provides reports, assessments, and resources to help enterprises complete the security review process.
Regarding details such as specific pricing, deployment models, and supported languages, official materials are not yet available.
