Fraudsters work around the clock, and so should your risk team.

Meet Sammy, your AI-powered risk assistantโ€”blocking and alerting on Stripe fraud in real-time, 24/7 in Slack.

Try the Interactive Demo

Switch between Free and Premium to see the difference

Try it yourself

Explore how Sammy can help you understand your Stripe data in real-time!

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Stripe

OUR USERS

Who we work with

Our users are merchants processing on Stripe who are ready to transform their risk operations. If you're experiencing real fraud challenges and want to improve your risk posture, we're here to help.

HIGH-VOLUME BUSINESSES

Scale Risk Operations

For companies processing $1M+ monthly volume, we help you automate fraud detection, reduce manual reviews by 80%, and scale risk operations without proportional headcount growth.

RISK & COMPLIANCE TEAMS

From Alert Fatigue to Action

We work with CROs, fraud managers, and risk analysts to prioritize real threats, reduce false positives, and make faster, more confident decisions with AI-powered insights.

PAYMENT OPERATIONS

Optimize for Growth

For teams handling disputes, chargebacks, and fraud patterns, we help you reduce losses while improving customer experience and maintaining compliance standards.

PLANS

Free & Premium Plans

Start with free real-time monitoring, then upgrade to AI-powered insights when you're ready.

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Real-time Monitoring

Sammy continuously monitors your payment flows and sends instant notifications for important events.

๐ŸŽ‰ FREE
Launched: Payment alerts
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Instant Alerts

Get immediate Slack notifications for declined payments, disputes, and payment intents.

๐ŸŽ‰ FREE
Launched: Real-time webhooks
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AI-Powered Analysis

Advanced machine learning identifies fraud patterns and provides actionable recommendations.

๐Ÿš€ PREMIUM
In Beta: @Sammy analyze patterns
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Smart Automation

Automatically handle routine risk tasks while you focus on what matters most.

๐Ÿš€ PREMIUM
In Beta: @Sammy auto-approve

MEET THE TEAM

Founded by an all-star team.

Misha and Tahin met at Stripe, where they worked on high-scale risk and fraud systems โ€” blending machine learning with distributed systems to protect billions in payments. Across roles at Stripe, Mercury, and Interac, they've spent over a decade building risk systems that turns real-world signals into actionable insight.

With deep experience across AI, engineering, and data science, they started Canonical Labs to solve a hard but common problem: how to catch fraud faster, scale ops without adding headcount, and bring clarity to messy signals. Their work helps financial institutions reduce losses, improve decision systems, and build automation.

Canonical partners with high-growth teams to tackle the problems that traditional vendors ignore โ€” from reducing alert fatigue to unblocking approvals, accelerating market expansion, and bringing AI into production risk workflows.

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