Jason Tan

Sift is an AI-powered fraud prevention and digital trust platform founded in 2011, headquartered in the USA. The company specializes in identifying and preventing fraudulent transactions, account abuse, and payment fraud for digital commerce businesses. Its core platform uses machine learning algorithms to analyze user behavior patterns, transaction data, and device information in real-time, enabling merchants and financial services companies to distinguish between legitimate and fraudulent activity. Sift's primary products include fraud detection APIs, chargeback management tools, and account abuse prevention systems. The platform processes billions of transactions and events annually, building predictive models from this data to improve detection accuracy over time. The company serves e-commerce platforms, payment processors, financial institutions, and subscription services globally. With $162M in total funding and a $1.0B valuation, Sift operates at Series E stage, indicating substantial market traction and investor confidence. The company competes in the broader fraud prevention and fintech security sector alongside players like Stripe Radar, PayPal's fraud tools, and specialized fraud detection vendors. Its competitive positioning centers on machine learning sophistication, real-time processing capabilities, and integration flexibility for digital commerce ecosystems. Sift has maintained consistent growth since its inception, expanding its customer base and product capabilities to address evolving fraud threats in digital commerce environments. Sift combines behavioral analytics with machine learning to provide real-time fraud detection at scale for digital commerce platforms.