🚀 Free Pilot Program
We work hands-on with your team to build your first workflows—completely free. 4-week pilot • Your data stays in your VPC
Use ContextOS to orchestrate candidate retrieval, reranking, and diversity filtering. Connect your ML models or use platform defaults—all without migrating your user data or content catalogs.
Connect existing data sources (no migration)
Build multi-stage ranking workflows
Plug in your ML models seamlessly
A/B test with full lineage
Quick overview. Learn more on the platform page →
Connect user data and content catalogs
Define KPIs and personalization policies
Build agent workflows for ranking & retrieval
Deploy and optimize with A/B testing
Build, connect, and orchestrate your recommendation infrastructure
Fuse behavioral signals, catalog data, and real-time events into a unified graph. Agents access the full picture for every recommendation.
Define item relationships and user segments once. Agents automatically traverse graphs to generate relevant candidates for each user.
Build multi-stage pipelines—candidate retrieval, reranking, diversity filtering, freshness boosting. Plug in your ML models or use platform defaults.
Configure agents to balance competing goals—engagement, revenue, diversity. Set constraints and weights per use case.
Fine-tune scoring functions, diversity thresholds, and freshness curves. Version-control policies and roll back instantly.
Deploy experiments with statistical significance gates. Agents continuously learn from user interactions and update strategies.
Build product recommendation engines—connect catalog, behavior, and inventory. Agents handle candidates, ranking, and diversity.
Personalize news, media, or social feeds—agents balance relevance, freshness, and diversity based on user preferences.
Target offers and campaigns with context-aware agents—segment users, optimize timing, and track conversion.
Start your free pilot and work with our team to orchestrate personalization workflows on your data
Start Free Pilot