Sequen, a new startup founded by former Etsy AI executive Zoë Weil, has secured $16 million in Series A funding to bring advanced personalization technology – similar to that used by TikTok, Instagram, and YouTube – to businesses across the consumer space. The company aims to bridge the gap between tech giants with massive datasets and other large companies lacking the infrastructure for hyper-targeted ranking algorithms.
The Rise of “Large Event Models”
Weil’s approach centers on “large event models,” a more sophisticated form of AI than traditional large language models (LLMs). While LLMs excel at text generation, event models specialize in analyzing streams of real-time human behavior, predicting desires before users even consciously recognize them. This is why modern platforms don’t just recommend content; they shape user preferences through subtle, data-driven manipulation.
Sequen’s technology learns from every action – clicks, scrolls, even mouse hovers – to personalize experiences in real-time, without relying on invasive cookies or static user profiles. The system is designed to be faster than traditional methods, with decision-making happening in under 20 milliseconds.
Beyond Cookies: Privacy-Forward Personalization
The key advantage of Sequen lies in its privacy-focused approach. Unlike cookies, which track individuals across the web, Sequen’s event models generalize from patterns of behavior without needing to identify users. This allows for highly effective personalization while mitigating privacy concerns.
Weil notes that the company’s tech delivers significant results: a furniture retailer saw a 7% revenue lift after implementation, far exceeding typical gains, while Fetch Rewards experienced a 20% net revenue increase in under two weeks. Companies are reportedly eager to adopt Sequen across their entire platforms once they see the initial performance gains.
How It Works: RankTune and API Integration
Businesses integrate with Sequen through its RankTune platform, swapping their existing ranking APIs for Sequen’s frontier models. Pricing is tiered based on requests per second (RPS), with contracts already reaching seven figures with initial customers.
The company, based in New York, has a team of 14, including alumni from DeepMind, Meta, and Anthropic. It has already processed over 10 billion monthly requests in under 18 months.
Sequen’s funding round was co-led by White Star Capital and Threshold Ventures, building on its earlier seed funding from Greycroft. The company has now raised $22 million total.
This technology represents a fundamental shift in how consumer companies leverage AI, moving beyond simple recommendations to predictive, real-time personalization. Sequen’s success could redefine the future of online engagement, forcing other businesses to adapt or fall behind.
