Tiger Powers Julep’s AI Platform with Postgres-Native Infrastructure

Julep AI, an open-source platform founded by Diwank Tomer, enables developers to build complex AI workflows by providing an efficient backend for agent memory and task orchestration, while addressing the challenges of scaling its data architecture. To handle the rapid state changes, vector memory search, and real-time context materialization required for AI applications, Julep leveraged Tiger Data's PostgreSQL platform, combining TimescaleDB for time-series event tracking with pgVector for in-database vector search. This integration allowed Julep to maintain a cohesive, Postgres-native infrastructure that simplifies operations and enhances performance, eliminating the need for multiple, specialized databases. By using this unified data stack, Julep achieved infrastructure simplification, improved developer velocity, and cost efficiency, enabling real-time agent insights and streamlined AI development. The company’s adoption of Tiger Data's solutions illustrates the potential for AI platforms to unify data management within a single database, thereby accelerating innovation and reducing complexities.