Real-time fraud detection
Advanced ML algorithms detect and block fraudulent transactions in milliseconds
- Machine learning models
- Pattern recognition
- Behavioral analysis
- Device fingerprinting
Risk Engine
Real-time AI protection that adapts to emerging threats automatically while preserving legitimate customer experiences.
Works with Stripe, Checkout, Adyen, Airwallex, Shopify.
85%
Reduction in fraud losses
<100ms
Average decision time
0.2%
False positive rate
99.9%
System uptime
Security matrix
Our Risk Engine protects against all major fraud vectors with industry-leading detection rates.
Engine capabilities
Powered by cutting-edge AI and machine learning algorithms that evolve with emerging threats.
Advanced ML algorithms detect and block fraudulent transactions in milliseconds
Self-learning algorithms that improve fraud detection accuracy over time
Sub-100ms response times for real-time transaction processing
Complete visibility into your transaction risk landscape
Deployment path
From integration to deployment, our streamlined process gets you protected fast.
Connect your payment systems and historical data to Corgi's platform
Build custom fraud models using your historical data with performance estimates
15-day comparison testing against existing solutions (Radar, RevenueProtect)
Full deployment with continuous monitoring and optimization
Model metrics
Learn how precision and recall metrics help optimize your fraud prevention strategy, and how we adjust models to your risk tolerance.
Non-technical
When we flag a transaction as fraud, how often are we correct? High precision means fewer false alarms and happier customers.
Technical
Precision = True Positives / (True Positives + False Positives). Of all transactions identified as fraud, what percentage actually were fraud.
Example
92% precision = Only 8% false declines
Non-technical
Of all the actual fraud happening, how much are we catching? High recall means we're not missing fraud attempts.
Technical
Recall = True Positives / (True Positives + False Negatives). Of all actual fraudulent transactions, what percentage did we detect.
Example
89% recall = We catch 89% of all fraud attempts
Maximize fraud prevention
Higher Recall: catch more fraud by being more aggressive, accepting some increase in false positives. Best for high-risk industries that prioritize security over convenience.
Reduce false declines
Higher Precision: minimize customer friction by being more selective, though some fraud may slip through. Best for customer-focused businesses prioritizing experience.
Pricing
Flexible pricing that scales with your business growth
For business owners or teams who need advanced analytics to better understand payments and want actionable insights.
$299/month
No credit card required
For businesses with dedicated payment or risk operations staff who need tools to optimize revenue and prevent fraud.
$999/month
No credit card required
For businesses with multiple PSPs or dedicated payment/operations teams needing enterprise-level security and customized solutions.
Custompricing
No credit card required
Integrates with your existing payments processor via a simple plugin. No development work required. SOC 2 certified.
Get started
Book a 15-minute demo with our team. We're excited to meet innovative leaders, understand your business model, and help maximize your revenue.