"modern tech isn't really recommending content anymore. It's bending your will in subtle ways over time to make you actually want things. And, in fact, the tech has gotten so good that a lot of people suspect platforms are eavesdropping on their conversations. This phenomenon is credited to something called the Large Event Model, which generalizes streams of events and human behavior in particular."
"Our large event models learn from live user actions, not just clicks and scrolls, but also hovers, conversations and stuff within a given session - not static profiles or third-party cookies. That's how you personalize in real-time, even with sparse data. So yes, we do unlock TikTok's algorithms for Fortune 500 companies."
Zoë Weil founded Sequen after driving a billion-dollar increase in gross merchandise volume at Etsy through AI ranking improvements. The startup, which raised $16 million in Series A funding, offers real-time personalization technology and ranking infrastructure based on Large Event Models that learn from live user actions rather than static profiles or third-party cookies. This technology, previously accessible only to major tech firms like TikTok, Instagram, and YouTube, enables consumer businesses to personalize experiences in real-time using sparse data. Large Event Models generalize streams of events and human behavior, allowing platforms to influence user preferences through subtle algorithmic adjustments. Sequen's approach addresses privacy concerns by replacing traditional cookie-based tracking with behavior-based personalization.
#ai-personalization #large-event-models #real-time-ranking #privacy-focused-technology #consumer-marketplace
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