Sequen, a NYC-based company that provides large-scale event models and offers continual learning on dynamic user embeddings at inference, has raised $16 million in a Series A funding round led by White Star Capital and Threshold Ventures.
The round also saw participation from all existing investors, including Greycroft, which led the company’s seed round.
The raise brought the total amount to $22M.
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The company plans to use the funds to accelerate product development and hire additional staff to meet growing enterprise demand.
The Sequen Ranking Platform is the first AI platform built for in-session personalization and dynamic re-ranking in enterprise consumer apps. Previously, achieving this required billions of users, huge datasets, and custom infrastructure built over years. Sequen makes it available to any consumer enterprise without the hassle of managing complex, low-latency AI systems.
At the heart of the platform is Sequen IQ, a set of ranking models that uses not just user attributes but live user actions—clicks, scrolls, hovers, views, and conversions—to adapt experiences in real time. Sequen developed Large Event Models (LEMs) to generalize user behaviour from limited data, enabling companies to dynamically re-rank content during each session. Its purpose-built infrastructure is optimised to make decisions in under 20 milliseconds, enabling enterprises to deliver highly personalised, real-time experiences without building or managing ultra-fast systems themselves.
Since closing its seed round, Sequen has partnered with some of the world’s largest consumer companies. Fortune 500 customers have seen a material lift in conversion and revenue within days of deployment. Sequen recently introduced RankTune, a platform that enables internal teams to build features and rapidly iterate on Sequen’s frontier models without managing the enormous infrastructure required for sub-20ms dynamic re-ranking.
“Modern consumer technology doesn’t just recommend content—it shapes behaviour over time,” said Zoë Weil, Founder and CEO of Sequen. “Our platform does this without needing billions of users, solving the data sparsity problem for enterprises. We train on behaviour, not identity, replacing the cookie and enabling real-time optimization at scale.”
“Zoë is a rare founder,” said Eddie Lee, General Partner at White Star Capital. “She has spent her career building and scaling the ranking systems that drive revenue for the world’s largest companies. Seeing her expertise combined with execution made our decision easy: our role as investors is to remove every obstacle to global growth.”
“The consumer internet has changed dramatically. AI has reset user expectations, and major platforms are rushing to catch up. Sequen has repeatedly shown with Fortune 500 companies that their AI drives real revenue,” said Lisa Xu, Partner at Threshold Ventures. “This isn’t just about efficiency—Sequen provides enterprise-ready AI that makes money, and their platform will become essential for any consumer company competing in the AI era.”
“We’re always looking for ways to make the Fetch app more rewarding, and our AI team works daily to improve conversions,” said Ori Schnaps, Chief Technology Officer at Fetch. “Sequen built on that work and helped us achieve a significant lift in conversions, showing what’s possible when a top internal team and the right external partner work together.”
About Sequen
Founded by Zoë Weil, Mohammad Afshar and Alexander Thom, Sequen AI provides dynamic, in-session personalization for enterprise consumer companies, turning relevance into measurable revenue. The company invented Large Event Models (LEMs) and is the first to offer continual learning on dynamic user embeddings during inference. Sequen AI can generalise behaviour from sparse data to optimise rankings, recommendations, and discovery in under 50 milliseconds, delivering highly relevant user experiences that boost conversion, revenue, and engagement.
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