platoseed
AI to increase payment acceptance and reduce fraud for businesses
End-to-end suite of fraud detection and prevention solutions, including an analytics product to monitor and understand dispute + fraud metrics, an AI product which highlights transactions for merchants to follow up on, and an AI solution to recommend rules that can be implemented in payment provider platforms (Stripe, Shopify, Adyen) to proactively reduce dispute + fraud rates.
Corgi Labs provides AI-powered payment optimization and revenue recovery aimed at increasing approval rates and reducing fraud for ecommerce and SaaS. Its offering centers on enterprise-grade payment decisioning that analyzes transactions to recover lost revenue and minimize chargebacks, with a no-development plugin integration.
Corgi Intelligence provides analytics to visualize where revenue is lost, identify fraud trends, and connect quickly without development work. Corgi Model is an enterprise-grade payment decisioning system that uses custom machine learning trained on a merchant's own transactions to block fraud while approving more legitimate orders, integrates via a simple plugin with existing payment processors, and is SOC 2 certified. Results are advertised in days, with measurable improvements and a focus on recovering recurring revenue for subscription/SaaS and other velocity-based businesses.
Who it’s for: Ecommerce brands and SaaS/subscription businesses that rely on online payments and want to reduce fraud while maximizing legitimate approvals; sectors include luxury goods, consumer retail, cross-border, travel/ticketing, gift cards/pre-paid, staples/commodities, and other merchants with margin-sensitive or recurring revenue models.
mentions of SOC 2 certification, enterprise integrations, customer case quotes, and a pricing page; evidenced traction through stated recovery figures and industry-focused use cases
Saif is the founder of Corgi Labs, where he builds modern fraud and payments intelligence for fast-growing businesses. Previously, Saif was a Data Scientist at Stripe, Google and Facebook (now Meta), and a healthcare economist in an earlier life.

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