Search, graph, and analytics. One engine.
A data engine that embeds inside your product. Full-text search, knowledge graphs, and columnar analytics. Unified behind standard SQL.
A data engine that embeds inside your product. Full-text search, knowledge graphs, and columnar analytics. Unified behind standard SQL.
One engine for search, graph, and analytics workloads
A single SQL query can search text, traverse relationships, and run analytics. No separate systems to keep in sync.
Every engineer already knows it. No Cypher, no query DSLs, no proprietary APIs to learn.
Runs on your infrastructure, inside your product. Your customers interact with your application, not ours.
Three capabilities that typically require three separate systems.
Search across structured and unstructured data. Pre-built indexes, no external search engine required.
Entity relationships, communities, and embeddings. Query graph structures with standard SQL.
Run analytics across millions of rows. Built on Apache Arrow and DataFusion.
Run LLMs, generate embeddings, classify text, or execute Python directly from SQL. Build materialized views augmented with AI logic. No external orchestration layer required.
Teams embedding Catalyzed in their products.
"We were managing separate search and analytics tools for contract analysis. Catalyzed replaced both with one SQL interface. Our team integrated it in days."
"Correlating threat data across logs, entity graphs, and real-time feeds used to mean three different systems. Now it's one query."
"We needed search, document analytics, and project tracking in one place for tax credit filings. Catalyzed handles all of it behind standard SQL."
Book a technical demo or start building with the free developer tier.
