State-of-the-art models trusted by risk teams
Inscribe’s proprietary ML models have been trained on the largest and most diverse database of real-world financial documents, consistently delivering data risk teams rely on for smart onboarding and underwriting decisions.
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SOLUTION
Risk Models you can use today
Why Inscribe
Proprietary Models with state-of-the-art performance
If you’re not quite ready to start using AI Risk Agents, you can use our state-of-the-art (SOTA) machine learning models to detect invisible document fraud signals and get cashflow insights for better, faster risk decisions.
Document fraud attempts are getting more sophisticated, but Inscribe uses best-in-class detection models to outsmart bad actors. With a combination of heuristics and deep learning, Inscribe assigns a Trust Score and provides a snapshot of any fraud found, helping you quickly understand the trustworthiness of your applicants and their documents.
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Sometimes, applicants send the wrong documents. Inscribe lets you know immediately by instantly classifying the document type (bank statement, tax form, financial statement) and subtype (Bank of America, W-2, P&L). Inscribe can even check the document format and ensure it’s in the date range you requested.
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Too much friction in your onboarding processes can put you at risk of losing customers. Inscribe streamlines the most tedious parts of your KYB/KYC workflows while helping you maintain compliance. With Inscribe, you can instantly verify that the information on submitted documents, like names, addresses, or any string of text, match the information you have on file.
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Need to pull key details from documents submitted by your applicants? Inscribe quickly and accurately parses data from financial documents like bank statements, checks, pay stubs, W-2s, business tax returns, and P&L statements. Inscribe even returns a structured list of transactions by customer or bank account.
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Finding transaction risk signals is tedious, time-consuming work. But Inscribe categorizes transactions so you can easily identify income, NSFs, withdrawals, self-transfers, loan repayments, and other transaction types in just seconds. Inscribe also provides merchant names to help you understand who your customers are already doing business with.
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Determining creditworthiness doesn’t need to be a chore. Inscribe helps your team fast-track risk assessments with instant insights into cashflow. Using data from bank statements, pay stubs, Plaid, and MX, you can see an applicant’s revenue or personal income, loans, expenditures, and much more to understand financial health.
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Platform
Easily add to your existing workflow
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API
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Web App
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Collect
Deploy an AI Risk Agent today
Book a demo to see how Inscribe can help you unlock superhuman performance with AI Risk Agents and Risk Models.