Fraud and false declines

Approve more good customers. Block more fraud.

The CORGI Model is trained on your own transactions, so it fixes both at once.

How it works
Backed by Y Combinator

Stripe Verified Partner

The problem

Generic fraud tools cost you good customers

The cost of a blocked good customer never shows up on a dashboard.

Rules built on everyone’s data

Generic tools learn from everyone’s data, not yours.

Lost sales you never see

Good customers get turned away, and it never shows up in a report.

Rules tuned by hand

Every change is a guess until the damage shows up.

What you get

A model built on your own data

Custom per-merchant models, checked against a real holdout period, with the counterfactual lift reported.

A model trained on your data

Custom per-merchant models, not generic rules shared across every merchant.

  • Trained on your own transaction history
  • Approves more good payments
  • Blocks more fraud

Backtest before you commit

We replay your own history to show what we would have caught against what actually happened.

  • Uses your own past transactions
  • Approvals and fraud side by side
  • No live traffic touched

Proven against a real holdout

Results are checked against a real holdout period, and we report the counterfactual lift.

  • Real holdout period
  • Counterfactual lift reported
  • Your numbers, not an industry average

Pricing tied to results

No fixed platform fee. Pricing includes a share of the revenue lift.

  • No fixed platform fee
  • Share of the revenue lift
  • Full details on the pricing page

How it works

From your data to live decisions

We prove the lift on your own history before the model touches a live payment.

  1. 1

    Connect Stripe

    Connect your Stripe account and historical transactions.

  2. 2

    Backtest

    We train a model on your history and show what it would have caught.

  3. 3

    Shadow test

    The model runs alongside your current tools without touching live traffic.

  4. 4

    Go live

    The model starts making live approve and block decisions.

$1.6M

Revenue recovered from false declines

$2.9M

Fraud prevented in a single year

$9.6M

Approvals unlocked across portfolios

59.5%

Fewer false declines on good buyers

Built to meet the highest security and regulatory standards. Enterprise-grade compliance, verified.

  • PCI DSS
  • SOC 2
  • GDPR
  • ISO 27001

Get started

Get your free diagnostic

Tell us about your payments. We’ll show you what a model trained on your data would change.