Analyze payment behavior and evaluate business-specific fraud decisions
Corgi Labs provides payment analytics and AI-assisted fraud management for online businesses. Its platform connects payment information to a risk workflow so a merchant can examine transaction patterns, evaluate rules and consider business-specific models. The product is focused on balancing legitimate payment approvals with fraud controls, rather than treating every declined transaction as a successful outcome.
The official site describes integrations with payment providers and commerce systems, including Stripe, Checkout.com, Adyen, Airwallex and Shopify. A connected business can use its own payment history and outcomes to inform custom models. Holdout evaluation is part of the advertised process, giving teams a way to compare proposed decisions before a broader deployment. The quality and representativeness of that data remain important when interpreting results.
Rules, lists and model outputs can support decisions to approve, block or route transactions. This should be planned alongside existing payment-provider controls, operational responsibilities and an exception process. A model score is not a guarantee about an individual customer. Review false declines as well as missed fraud, and check how feedback from later payment outcomes is incorporated into the system.
The published plans distinguish Core, Pro and Enterprise, with different administrator allowances and additional-user charges. Developer API access is advertised for Enterprise. Some pricing-table items, including the AI analytics chatbot and certain data-pipeline capabilities, are marked coming soon and should not be assumed available today. The advertised trial provides a route to evaluate the current service before a subscription. A sensible pilot uses a defined transaction segment, agreed success measures and a rollback plan. Improvements shown in marketing examples do not establish the result another merchant will achieve.
