Inscribe Introduction

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Inscribe is an AI-powered risk intelligence platform that helps financial organizations detect fraud, automate document processing, and make smarter underwriting decisions.
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What is Inscribe

Inscribe is a leading provider of AI-powered risk intelligence solutions for financial services companies. Founded in 2017 and headquartered in San Francisco, Inscribe leverages advanced machine learning and artificial intelligence to help banks, fintechs, and lenders automate complex workflows related to fraud detection, document verification, and underwriting. The platform is trusted by major companies like Plaid, Ramp, Bluevine, and Navan to increase operational efficiency and reduce fraud losses.

How does Inscribe work?

Inscribe's platform consists of two main components: AI Risk Agents and Risk Models. The AI Risk Agents act as autonomous AI coworkers that can read, write, and reason to perform routine onboarding and underwriting tasks 24/7. They coordinate outputs from various systems, summarize findings, and recommend next steps. The Risk Models use state-of-the-art machine learning to perform specific tasks like document parsing, fraud detection, transaction enrichment, and cashflow analysis. These models have been trained on a large, diverse dataset of real-world financial documents to deliver highly accurate results. Users can leverage Inscribe's API to integrate these capabilities into their existing systems and workflows.

Benefits of Inscribe

By using Inscribe, financial organizations can significantly reduce manual review times, with some customers reporting a 99% reduction. This allows companies to process applications faster and scale operations without increasing headcount. The AI-powered fraud detection helps catch more instances of fraud and credit abuse that may be invisible to human reviewers, reducing avoidable losses. Overall, Inscribe enables companies to automate tedious tasks, make smarter risk decisions, and focus their teams on higher-value strategic work. Customers report major efficiency gains, with over $85,000 in additional productivity per full-time employee.

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