Corgi Labs

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About
Corgi Labs is an AI-powered payment intelligence platform designed to address the widespread problem of false declines, which often cost merchants more in lost sales than actual fraud. The platform consists of two main components: Corgi Model, an enterprise-grade payment decisioning engine, and Corgi Intelligence, a visibility layer that provides real-time analytics. By shifting from blunt-force fraud rules to a revenue-first approach, the tool helps businesses identify and approve good customers who would otherwise be rejected by traditional payment processors. The system works by training custom machine learning models on a merchant's unique transaction history rather than relying on generic, industry-wide data. This allows the AI to learn specific customer behaviors, geographic nuances, and product patterns unique to the business. Integration is designed to be seamless, connecting to existing payment processors via a simple plugin or API with no development work required. Users can even run the system in a "shadow mode" to observe performance and potential revenue gains before fully activating the automated decision-making features. This tool is specifically tailored for mid-market and enterprise-level companies that process a minimum of 8,000 transactions per month and have at least three months of history. It serves a wide range of industries including luxury retail and cross-border ecommerce, where high-ticket items are frequently misidentified as fraud. It is also beneficial for subscription-based SaaS companies looking to recover recurring revenue and businesses in the travel or ticketing sectors that are highly sensitive to fraud-related margin losses. What distinguishes Corgi Labs from standard fraud prevention tools is its performance-aligned pricing and its roots in high-level payment expertise, founded by former Stripe and Google engineers. The platform is SOC 2 certified and focuses on providing transparent analytics without requiring SQL knowledge. By aligning its success with the merchant's revenue growth, the tool aims to transform payments from a cost center into a significant opportunity for business optimization.
Pros & Cons
Increases overall revenue by 3% to 12% by recovering legitimate sales.
Reduces chargebacks by 70% to 95% through predictive anomaly detection.
Performance-based pricing ensures the tool pays for itself immediately.
Integrates seamlessly with major processors without requiring developer resources.
Detects emerging fraud trends up to 60% faster than manual rules.
Requires a minimum of 8,000 monthly transactions to be effective.
Needs at least three months of historical data for model training.
Full pricing tiers for the Intelligence product are not disclosed upfront.
Use Cases
Ecommerce managers at luxury brands can reduce false declines on high-value items to prevent losing significant revenue.
Finance teams at SaaS companies can use the intelligence dashboard to identify churn patterns and recover failed recurring payments.
Travel and ticketing platforms can protect thin margins by detecting fraud trends in real-time for instant-delivery products.
Cross-border retailers can optimize authorization rates for international customers who are frequently blocked by generic filters.
Revenue operations teams can visualize customer drop-off points at checkout to improve overall payment conversion.
Platform
Features
• custom machine learning models
• real-time revenue dashboards
• soc 2 certified infrastructure
• subscription churn visibility
• cross-border authorization optimization
• shadow mode performance testing
• chargeback likelihood prediction
• false decline reduction
FAQs
What is the minimum transaction volume required for Corgi Model?
To build a robust and accurate model, Corgi Labs generally requires businesses to have at least 8,000 online transactions per month. They also recommend having at least three months of processing history and some historical fraud cases to train the AI effectively.
Can I use Corgi Labs alongside my current fraud prevention tools?
Yes, Corgi Model is designed to work in tandem with existing stacks like Stripe Radar. You can layer it on top and even run it in shadow mode to test performance without changing your existing workflows.
How long does it take to see results from the analytics?
The first dashboards are typically visible within minutes of connecting your account to a payment processor. Historical data is analyzed immediately, and most dashboards are fully populated within a few hours.
Does Corgi Labs handle chargeback management?
The platform provides tools for your team to view and respond to chargebacks directly. Additionally, it uses AI to flag risky payments and provide intelligent predictions on chargeback likelihood before they occur.
Is integration difficult for a non-technical team?
No development work is required from your team as the platform integrates via simple plugins or APIs. Dedicated payment optimization experts are also available to guide you through the setup process and ensure everything is configured correctly.
Pricing Plans
Corgi Model
%0.20 / per approved volume• Custom machine learning models
• 5% fee on revenue increase
• 0.2-0.3% volume fee
• Chargeback likelihood prediction
• Shadow mode testing
• Dedicated expert support
• SOC 2 certified security
Corgi Intelligence Trial
Free Plan• Real-time revenue dashboards
• Payment conversion tracking
• Dispute and fraud patterns
• Subscription activity monitoring
• AI-surfaced insights
• No SQL required
• Connects in minutes
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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