I testified before the Department of Justice about a federal fraud case. That experience is why SureVett exists.

My name is Nathan Hart, and trust verification has been the thread running through my entire career.

The Bitcoin wallet years

In 2012, I built one of the first Bitcoin browser extension wallets — BitWallet. This was the Wild West era of crypto: no regulations, no guardrails, and scammers around every corner. I watched firsthand as people got deceived because they had no way to verify what was real. The technology was exciting, but the gap between what was genuine and what was fraudulent was massive and growing.

The DOJ testimony

That work led me into the middle of a federal fraud investigation. I was called to testify before the Department of Justice about a case that crystallized something I'd been feeling for years: the systems we rely on to verify trust are fundamentally broken. Not just in crypto — everywhere people need to distinguish what's real from what isn't.

A decade at AWS

I spent the next ten years at Amazon Web Services, building infrastructure for companies training frontier AI models. I learned what “production-ready” actually means at enterprise scale — not weekend-hack quality, but systems that millions of people depend on every day. I developed deep expertise in building things people can trust.

The Fakespot moment

In July 2025, Mozilla shut down Fakespot. Ten million users lost their only real protection against fake reviews overnight. I looked at the alternatives: one was caught posting fake Reddit recommendations for itself. Another gave perfect scores to products with known fake reviews in my testing. The irony of fake review detectors you can't trust was too much.

Building SureVett

I combined the firsthand understanding of how fraud works from the DOJ experience with the infrastructure engineering discipline from AWS. SureVett isn't a weekend hack — it's built to the standard of enterprise software, because the problem of verifying trust at scale deserves a serious solution.

The AI analysis doesn't just give you a letter grade and hope you trust it. It shows you exactly why a product scored the way it did: review velocity patterns, J-curve analysis, verified purchase ratios, language pattern detection. Transparency isn't a feature, it's the whole point.

SureVett launched on Chrome, but fake reviews don't stop at your laptop. An iPhone app, with a Safari extension for mobile browsing and a Share Sheet for checking products from the Amazon app, is next.

Why it's free

Fake review detection should be accessible to everyone. That's why the core analysis is free, and always will be. If SureVett ever makes money, it won't be by putting a paywall between you and the truth about a product.