Lucius AI operates a global tender intelligence platform on AlloyDB for PostgreSQL, consolidating relational data, audit logs, and vector embeddings. This unified approach eliminates the need for separate database systems. Migrating their semantic search to a ScaNN index dramatically improved query latency. Query times were reduced from 1.14 seconds to just 24 milliseconds, representing a 47x speedup. The company also connects an AI agent to AlloyDB using the Model Context Protocol (MCP). This integration automates crucial administrative tasks such as query analysis and data freshness checks. Strict least-privilege permissions were implemented to ensure secure database operations. Lucius AI's platform covers over 210,000 tenders across multiple continents. This architecture allows a solo founder to manage extensive operational coordination effectively. Future plans include leveraging automated vector embeddings and AlloyDB's columnar engine. Managing operations through AlloyDB and MCP enables a resilient multi-region platform managed by a single engineer.