What it surfaces

Picture a deal that hits underwriting and immediately throws an alert: the merchant was sued by an MCA company in 2018. That could mean an auto-decline. QuickVett's report instead shows the dispute was over about $3,000 at the tail end of a $100,000 deal, and that it ended in a satisfied settlement.

The company applies MCA-specific AI analysis to the hits it finds. An immediate default reads differently from a conflict that erupts after a long relationship, such as one following the seventh renewal. Most underwriters already use NYSCEF, New York's court case search, but a case filed outside the New York state courts would never show up there. QuickVett says it will find the case wherever it was filed.

Beyond the docket

The platform also runs its own searches. It can detect whether a merchant's DoorDash account or e-commerce site has gone offline, or whether employees recently updated their LinkedIn profiles to say they no longer work at the business. It pays particular attention to corporate structure and the job titles of officers.

In a trial run for test purposes, the deep search found a sworn affidavit a business owner had filed in an old court case and compared his statements with public records and his LinkedIn profile about his role. Everything matched. Had it not, an underwriter would have had to ask why an owner swore he had partners in an obscure case while listing himself as the 100% owner on a funding application.

QuickVett says it delivers "a complete merchant intelligence dossier in under 5 minutes," drawing on court records, background databases, corporate filings, social media and the web. Its AI tailors the findings to an MCA-style underwriting process.

Source reporting: deBanked.