CorgiLabs

Corgi Labs is an AI-powered platform designed specifically for Stripe merchants to enhance their payment operations. Its core value proposition lies in using machine learning to directly increase revenue by recovering lost income from failed payments, preventing fraudulent transactions before they cause losses, and optimizing the entire payment flow to maximize successful authorizations. This results in higher net revenue, reduced operational costs associated with disputes and fraud, and improved customer experience through smoother transactions.

Key features: The platform provides automated revenue recovery by intelligently retrying failed payments with optimal timing and methods, significantly boosting conversion rates. Its fraud prevention system uses advanced machine learning models to analyze transactions in real-time, blocking fraudulent attempts while minimizing false positives to avoid declining good customers. A comprehensive payment analytics dashboard offers deep insights into payment performance, failure reasons, and customer behavior, with features like real-time alerts for critical events and customizable monthly reports. It also includes tools for managing chargebacks and streamlining dispute resolution processes.

What sets Corgi Labs apart is its deep, native integration with Stripe, allowing it to leverage Stripe's rich data ecosystem for highly accurate models without requiring complex setup. The AI models are continuously trained on vast, anonymized transaction data across its merchant network, improving their predictive power over time. Unlike generic fraud services, it is built from the ground up for the specific nuances of online payments and subscription businesses, offering actionable recommendations beyond simple risk scoring. The platform operates seamlessly in the background, requiring minimal manual intervention once configured.

Ideal for mid-market to large-scale e-commerce businesses, SaaS companies, and subscription-based platforms that process significant volumes through Stripe and are impacted by payment failures, fraud, or suboptimal authorization rates. Specific use cases include online retailers experiencing high cart abandonment due to payment issues, digital services facing sophisticated fraud attacks, and any business looking to automate and data-drive their financial operations to reduce revenue leakage. It is particularly valuable in industries like digital goods, streaming, online marketplaces, and fintech.

Pricing follows a freemium model with a free tier for basic monitoring and a paid tier that scales with transaction volume and required features, typically starting for businesses processing meaningful revenue.