Sequen Secures $16M to Scale AI Personalization for Brands

Sequen, a New York AI startup, raised a $16 million Series A to help major consumer brands deploy AI personalization “beyond cookies.” The round was co-led by White Star Capital and Threshold Ventures, with participation from Greycroft, taking total funding to $22 million. Founded by former Etsy executive Zoë Weil, Sequen offers RankTune, an enterprise API platform that delivers real-time ranking and personalization for sites and apps. Its key technology is the Large Event Model (LEM), which generalizes user event streams (clicks, hovers, dwell time, session cues) to drive instant recommendations without relying on stored user identities. Sequen positions LEM as privacy-forward: personalization is computed from live, anonymous session data, with claimed sub-20 millisecond decision-making and reduced regulatory exposure versus third-party cookies (GDPR/CCPA concerns). The company cites early traction: a major furniture retailer reported a 7% revenue lift after implementation (vs. a prior 0.4% benchmark), and Fetch Rewards achieved a 20% net revenue increase within about 11 days. Sequen says its platform has processed 10 billion monthly requests across streaming media, online travel, and retail, and that its pricing scales by requests per second (RPS), with early customers signing seven-figure contracts. For traders, the core takeaway is that Sequen is commercializing enterprise-grade AI personalization infrastructure, potentially accelerating the shift from cookie-based tracking to event-based real-time models.