Shaped

Shaped is a relevance engine designed for real-time personalization and agent memory, providing personalized search and recommendations to AI agents. It connects your stack, unifies your data, and increases experimentation velocity. The engine is built for decisions, not documents, and provides a unified, queryable relevance engine. Shaped is suitable for teams and individuals looking to power their AI agents with contextual memory and retrieval, and to provide personalized content feeds that adapt in real-time to user behavior. The engine provides hybrid search combining keyword and semantic relevance, and content-based and behavioral similarity at scale. Shaped is ideal for use cases such as dynamic email content personalized per recipient and context-aware recommendations for conversational AI. It offers a range of features, including personalized hybrid search, enterprise-grade security, and a feedback loop that allows results to get better with every interaction. Shaped is particularly useful for teams that need to provide personalized search and recommendations to their users, and for developers who want to build personalized content feeds and conversational AI applications.