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This Week in Startups

How to Make Billions from Exposing Fraud | E2234

65 min episode · 2 min read

Episode

65 min

Read time

2 min

Topics

Productivity, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • Whistleblower monetization model: The False Claims Act allows anyone, not just insiders, to file qui tam lawsuits for unreported government fraud and receive 15-30% of recovered funds. Anti Fraud Company operates as the whistleblower itself, not representing clients, eliminating the need for traditional customers while pursuing billion-dollar fraud cases.
  • AI-powered fraud detection: The company processes government and commercial datasets using LLMs for textual analysis and Palantir-style ontology for structured data. This approach identifies patterns in billion-dollar frauds that leave traces across multiple data sources, making large-scale fraud detection repeatable and scalable beyond traditional insider whistleblowing.
  • Litigation finance strategy: Cases take two to seven years to settle, similar to biotech development timelines. The company can sell 10-20% equity stakes in individual case subsidiaries to litigation finance firms for early liquidity while maintaining majority ownership, expecting higher hit rates than typical bespoke whistleblowers.
  • Market opportunity scale: Government fraud estimates range from $500 billion to $1.5 trillion annually, while current False Claims Act recoveries total only $4 billion per year. The company targets running ten cases annually, focusing exclusively on billion-dollar frauds rather than smaller million-dollar cases to maximize impact.
  • Investigative journalism business model: Traditional investigative journalism lacks sustainable monetization as newspapers lost regional monopolies and shifted to clickbait-driven content. Whistleblower programs provide alternative revenue by monetizing nonpublic investigative insights, with plans to publish full reports when legally permissible, reviving serious investigative work.

What It Covers

Alex Shea explains how his startup Anti Fraud Company uses AI and investigative journalism to uncover government fraud, filing whistleblower lawsuits under the False Claims Act to collect 15-30% of recovered funds without traditional customers.

Key Questions Answered

  • Whistleblower monetization model: The False Claims Act allows anyone, not just insiders, to file qui tam lawsuits for unreported government fraud and receive 15-30% of recovered funds. Anti Fraud Company operates as the whistleblower itself, not representing clients, eliminating the need for traditional customers while pursuing billion-dollar fraud cases.
  • AI-powered fraud detection: The company processes government and commercial datasets using LLMs for textual analysis and Palantir-style ontology for structured data. This approach identifies patterns in billion-dollar frauds that leave traces across multiple data sources, making large-scale fraud detection repeatable and scalable beyond traditional insider whistleblowing.
  • Litigation finance strategy: Cases take two to seven years to settle, similar to biotech development timelines. The company can sell 10-20% equity stakes in individual case subsidiaries to litigation finance firms for early liquidity while maintaining majority ownership, expecting higher hit rates than typical bespoke whistleblowers.
  • Market opportunity scale: Government fraud estimates range from $500 billion to $1.5 trillion annually, while current False Claims Act recoveries total only $4 billion per year. The company targets running ten cases annually, focusing exclusively on billion-dollar frauds rather than smaller million-dollar cases to maximize impact.
  • Investigative journalism business model: Traditional investigative journalism lacks sustainable monetization as newspapers lost regional monopolies and shifted to clickbait-driven content. Whistleblower programs provide alternative revenue by monetizing nonpublic investigative insights, with plans to publish full reports when legally permissible, reviving serious investigative work.

Notable Moment

Shea reveals the company discovered fraud at Brown University while he was a student there, leading to congressional testimony. The university attempted to discipline him but failed, demonstrating how the government cannot monitor all fraud and private incentives can expose institutional wrongdoing.

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Episode Transcript

Now he's built a company that wants to do exactly what you just said, use investigative journalism and also the power of AI to uncover fraud and collect fat penalties from the government for saving us all some money. And we talked about investigative journalism and how important it is. It turns out there are whistleblower laws. Whistleblower laws allow you to get 50%, a third of the money recovered. I think that we're probably not like any other company that that is in in in the world because we don't have any customers. So this, it turns out, is a is a is a is a way that you can monetize in information, investigative journalism about, about frauds that haven't been previously reported. We're not a law firm representing the whistleblower. We're not a we're not a law firm at all. We are the whistleblower. This Week in Startups is brought to you by Squarespace. Use offer code twist to save 10% off your first purchase of a website or domain at squarespace.com/twist. Luma AI. Stop guessing and start directing with Ray three Modify from Luma AI, the first AI powered postproduction tool. Explore it at lumalabs.ai/twist. NetSuite. Get the free business guide demystifying AI at netsuite.com/twist. Welcome back to Twist. This is Alex. And today, we're going back in time. One of my favorite founders in the world is Blake Scholl. He's founder and CEO over at Boom. Had him on the show a couple of times. I got to catch up with him in late two thousand twenty five. And if you want to learn more about that, go check out episode twenty one sixty eight. But we've talked to him through the years, and I don't just mean a couple years back. Jason actually had Blake on the show back in 2016. This is when Boom was more idea than product. It hadn't put a test aircraft into the sky yet. It had only raised a few million dollars and was miles and miles and miles further away from its goal of getting a consumer supersonic passenger jet into the sky. So I'm very glad to be joined today by producer Marcus. Marcus, hey. How are you? Hey, Alex. How are you doing? I'm doing great as we go through episode 638 and pull up the key moments from our first chat with Blake. Here's Jason and Blake talking about why the conqueror died and how Boom got started. Taking off on the wrong runway over max weight, They they landed just, you know, very, very close to a diversion runway. They crashed close to the diversion runway. They almost made it. Wow. Yeah. It's really sad. Now did that crash derail supersonic flight, or was it the expense? Why did we get so fast, have this amazing technology, and then not have it continue? When when did that happen? When did they decommission the final It was 2003. So it went back into service after …

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  • The company processes government and commercial datasets using LLMs for textual analysis and Palantir-style ontology for structured data.
  • Sponsors: Squarespace (squarespace.com/twist)
  • Sponsors: Luma AI (lumalabs.ai/twist)
  • Sponsors: NetSuite (netsuite.com/twist)

company

  • Alex Shea explains how his startup Anti Fraud Company uses AI and investigative journalism to uncover government fraud, filing whistleblower lawsuits under the False Claims Act to collect 15-30% of recovered funds without traditional customers.

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