The Sequen Relevance Engine
The first integrated infrastructure and frontier model platform
for dynamic in-session reranking for modern consumer applications.
Dynamic In-Session
Personalization
Large Event Models (LEMs)
LEMs enable consumer scale companies to generalize user behavior on sparse data. Similar to how language models (LLMs) generalize on text data and are able to fill-in for text they have not seen before, LEMs generalize across events (clicks, scroll, hover, purchase, add, etc)
In-Session Personalization
True in-session personalization leverages live user behavior to dynamically personalize their current experience, not when they come back. Ingestion, inference, and serving <20ms personalizes your application to provide a better user experience and drive outcomes
Events, Not Attributes
Personalization used to focus on "who" was on your site in order to leverage static attributes on customer records.
TikTok and other hyper-scalers have shown us that the power is in understanding "why" they are on your site and "what" will drive your goals. User behavior, aka events, are the better signal of user intent and preferences for personalization and driving conversion.
Personalization: Post-cookie, Privacy-first, in the AI Era
Dynamic User Embeddings
A more powerful representation of each user that goes beyond the idea of “who” is on the site, to understand “why” they are on the site. Continuously learning from implicit and explicit signals to provide hyper-relevant user experiences that drive better business outcomes.
Sequen Ranking Clusters (SRCs)
Vertically integrated infrastructure purpose-built for ranking and in-session personalization in under 20ms. Deployed in the cloud with dedicated, ranking-optimized GPUs per customer, SRCs reduce theinfrastructure costs and operational complexity of building and managing real-time ranking infrastructure and AI/ML operations.
Multi-Horizon Optimization
Most user journeys are not completed in a single session. Our horizon learning approach models multiple time windows simultaneously. Sequenʼs proprietary handling of delayed feedback can be optimized across sessions.
Sequen Frontier Models
Sequen frontier models are accessed via ultra-low-latency API. Either by the frontier model API or via Sequen Ranktune for in-house teams to build with.
Sequen IQ
Sequen IQ is the first AI to deliver continual learning on dynamic user embeddings at inference, enabling goal-optimized, in-session personalization. Providing a consumer intelligence layer that learns from live in-session behavior to dynamically rerank user experiences in under 20ms @p99.
Sequen Ranktune
Sequen Ranktune is how internal teams build with Sequen, leveraging Sequen IQ and SRCs without having to worry about training, serving or maintaining sub-second infrastructure. RankTune gives clients control over model creation while allowing them to optimize for specific business cases.
Seamlessly Works With Your Existing Tech Stack
The Sequen Relevance Engine integrates quickly via API with your existing stack. Leveraging data you already have to unlock new in-session revenue driving capabilities while eliminating the cost and complexity of building and managing millisecond latnecy AI/ML infrastructure.
Sequen Rumi
Dashboard-based analytics, trends, and rankings provide user behavior insight with comprehensive predictive statistics and clear, easy-to-understand, recommendations.
Talk with Our Team
Let's talk about how we can help you maximize conversion rates, optimize ad relevance, and boost sales more naturally.
