About Corgi Labs

We help businesses recover revenue hiding in their payments data

Founded in Singapore and California, Corgi trains models on your transaction history, proves the lift against a real holdout period, and pays for itself without extra marketing spend or dev work.

How it works

Integrates with your existing payments processor via a simple plugin. No development work required. SOC 2 certified.

  • AICPA SOC
  • Stripe Verified Partner
  • Stripe App Marketplace
  • Y Combinator
  • Haven Ventures
  • Capital X

Good customers deserve better

Too many qualified customers get rejected by systems that don’t know them. We started Corgi because your own transaction history already tells you who your good customers are, and legacy fraud tools throw that context away. Understand a customer, and you can approve more of the legitimate ones, catch fraud earlier, and cut disputes before they happen, all from data you already have.

Leadership

The team

Two founders who spent years building payments and fraud infrastructure at scale before starting Corgi Labs.

  • Saif Farooqui, Founder & CEO at Corgi Labs

    Saif Farooqui

    Founder & CEO

    StripeGoogle

    Ex-Stripe, ex-Google. Built fraud detection systems protecting billions in transactions before starting Corgi.

  • Brian Grech, Co-Founder & COO at Corgi Labs

    Brian Grech

    Co-Founder & COO

    PayPalBank of AmericaJP Morgan

    Ex-PayPal, ex-Bank of America, ex-JP Morgan. Payments experience across the full value chain, from card networks to issuing banks.

Fraud tools got blunt. We built a sharper one.

Protecting your payments shouldn’t mean giving up real customers. Saif saw fraud tools doing exactly that, so he built Corgi: custom models trained on your Stripe data, tuned to approve more while holding fraud down.

Stripe’s developer team asked him about it.

Why a corgi

Corgis are bold and intelligent, and famously stubborn about herding something much bigger than themselves. That’s the job: a small, sharp model finding the revenue hidden inside a much bigger pile of payments data, then not letting go until it’s recovered.

See what you're leaving on the table

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