Sequen offers an in‑session personalization and dynamic re‑ranking platform that uses Large Event Models to analyze live user actions and deliver ultra‑low‑latency (sub‑20 ms) ranking decisions via a single API. By continuously adapting search, discovery, recommendation, and chat surfaces to real‑time intent, the platform helps large consumer‑facing enterprises boost conversion, revenue, and engagement without building extensive AI infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Consumer applications often rely on static user profiles and delayed personalization, resulting in generic experiences that fail to capture real-time intent and miss opportunities to drive conversions, ad relevance, and sales.
Solution
Sequen provides an in‑session personalization and dynamic re‑ranking platform powered by Large Event Models (LEMs) that analyze live user actions—clicks, scrolls, hovers, adds, purchases—in real time. The platform delivers ultra‑low‑latency (sub‑20 ms) ranking decisions via a single API endpoint, continuously adapting search, discovery, recommendation, and chat surfaces to steer user behavior toward business‑defined goals such as conversion, AOV, LTV, or engagement. By focusing on event‑based signals rather than static attributes, Sequen enables enterprises to design and execute behavior‑shaping journeys that optimize outcomes without the need for extensive AI/ML infrastructure.
Target Audience
Primary customers are large consumer‑facing enterprises—e‑commerce, media, and advertising platforms—that need real‑time, AI‑native personalization to boost conversion, ad relevance, and overall revenue.
Features
- Large Event Models (LEMs) that generalize user behavior from sparse event data, similar to how LLMs handle text
- Ultra‑low‑latency API (<25 ms p99) for real‑time query understanding, ranking, and personalization
- In‑session dynamic re‑ranking of search results, product recommendations, and chat responses based on live user interactions
- Multi‑horizon optimization that models short‑ and long‑term user journeys across sessions
- Sequen Ranking Clusters (SRCs)
- dedicated, ranking‑optimized GPU infrastructure reducing operational complexity and cost
- Reinforcement‑learning‑style behavior design allowing custom KPI targets (e.g., conversion, ARPU, time spent)
- Dashboard (Sequen Rumi) providing analytics, trend insights, and actionable recommendations