Problem

Corgi Labs addresses the revenue leakage created when payment and fraud systems reject legitimate customers along with fraudulent transactions. The company says that 15% of ecommerce orders are declined during payment and that 70% of those customers are genuine and do not return, making false declines a potentially larger commercial problem than fraud itself. Its central use case is helping ecommerce, subscription, SaaS, and other fraud-sensitive businesses recover otherwise-lost sales while controlling chargebacks and fraud.

The economic pain is particularly acute for high-value, recurring, cross-border, or instant-delivery businesses, where a declined transaction can mean permanently lost customer lifetime value, while a successful fraudulent transaction can create chargebacks and margin erosion. Corgi positions the opportunity as 3%–12% more revenue through better payment acceptance and fraud prevention, with one cited customer reporting a 15% improvement in accepted payments and a path to recovering $2.4 million in annual revenue.

Product / Service

Corgi offers two connected products. Corgi Intelligence is a payment analytics and revenue-insights product that connects to a payment processor, analyzes transaction data, surfaces drop-off and fraud patterns, and provides alerts and optimization recommendations. Corgi Model is the higher-value payment-decisioning product: it uses custom machine learning trained on a merchant’s own transaction history to approve more legitimate buyers, detect fraud trends, and improve rules or decisions without requiring the merchant to replace its existing payments stack.

The delivery model is software delivered through a web application and processor integrations. The company says merchants can connect through a simple plug-in, including directly to Stripe, with no development work required; its earlier product description also references integrations with Stripe, Shopify, and Adyen. Corgi offers a free diagnostic and a roughly three-week process to train and compare a merchant-specific model against historical Stripe transactions, alongside self-serve Intelligence plans starting at $299 per month, a $999-per-month Pro plan, and custom Enterprise plans.

Market

Corgi competes in fintech software spanning payment optimization, payments intelligence, fraud detection, chargeback prevention, and revenue recovery. Its positioning is differentiated from generic fraud screening by combining cross-processor analytics with merchant-specific modeling, with the goal of reducing false declines rather than simply blocking more transactions. Comparable companies identified in market databases include UrbanFox, Ravelin, Featurespace, Trustmi, DataVisor, Fraud.net, FUGU, Cybertonica, and Simility; broader alternatives also include Sift, Fingerprint, and SEON.

Corgi Labs was founded in 2022 and is a Y Combinator W23 company backed by Y Combinator, Haven Ventures, and Capital X, among other investors. The available evidence indicates that it is generating revenue rather than pre-revenue: it has paid Core, Pro, and Enterprise offerings, describes customers as leading ecommerce and SaaS businesses, and reports results such as a 70%–95% reduction in chargebacks and a 22% increase in accepted payments for a $40 million ARR merchant. Its precise current revenue is not disclosed in the available sources, although PitchBook reports $4.11 million in total funding and classifies the company as venture-backed and revenue-generating.