Shaped

Shaped is a real-time relevance engine designed to power agentic AI by unifying retrieval, ranking, and learning. It provides a personalized, low-cost retrieval experience for search, discovery, and agent memory, claiming substantial cost and latency advantages over traditional RAG stacks.

Shaped offers a fully-managed AI ranking platform and a real-time context engine. It unifies retrieval, ranking, and learning in a single query (ShapedQL) that supports text, user ID, or item ID contexts. It delivers hybrid search (semantic + keyword), personalized results, a feedback loop to continually improve results, and modules for search, discovery, recommendations, and agent retrieval. It emphasizes low latency (50 ms), a unified data layer with 30+ connectors, and a pipeline that blends multiple data sources for real-time personalization and agent memory. It can be accessed via APIs/SDKs (Python, TypeScript) and integrates with various data warehouses and analytics tools. It also highlights security/compliance (SOC 2 Type II, GDPR/HIPAA) and uptime guarantees.

Who it’s for: Product and engineering teams building AI agents, search and recommendation systems, and real-time personalized experiences across apps and platforms.

Marketing mentions demos, free credits, and case studies; visibility of pricing page and product updates; multiple product releases (BYOC coming soon) and enterprise-focused security/compliance signals.