Shaped

Shaped is an end-to-end relevance engine designed for real-time personalization and agent memory. It unifies retrieval, ranking, and learning in one query across data, embeddings, and models to tailor results as users interact with content. The product targets product and engineering teams building personalized experiences and AI agents. It emphasizes real-time performance, a unified architecture, and production-readiness.

Shaped provides a three-layer architecture for query, intelligence, and data layers, enabling real-time retrieval, ML embeddings, and a feature store. The platform aims to simplify building AI-powered search, recommendations, and agent retrieval by integrating multiple data sources, models, and context into a single pipeline with low latency.

Shaped markets its capabilities as personalization and hybrid search, combining semantic and keyword signals with business rules. It supports continuous learning from interactions and a unified model across surfaces to drive engagement, retention, and conversions in various use cases such as feeds, product recommendations, and content discovery.

Shaped promotes a managed platform experience with built-in scalability, security, and connectors. It highlights enterprise-grade security, SOC 2 Type 2 compliance, GDPR/HIPAA considerations, and a high uptime SLA, while offering ready-to-use data connectors and production-ready tooling for ingestion, transformation, and deployment.

Use cases

• Feed personalization for dynamic content delivery
• Hybrid search across surfaces
• Agent retrieval with contextual memory