Enterprise data is fragmented across dozens of systems, resulting in agents that fail in production because their context is stale, slow, and impossible to navigate.
Introducing the real-time context engine, Redis Iris: the foundational layer that helps you build production-grade AI agents by turning scattered enterprise data into live, navigable, always-fresh context that gets better over time.
Built on four core pillars: Redis Context Retriever, Redis Search, Redis Data Integration (RDI), and Agent memory.

• Navigable: Context Retriever exposes enterprise data through agent-native MCP endpoints
• Fast: Redis Search provides the low-latency retrieval layer that makes the context engine production-ready
• Fresh: RDI keeps the context layer continuously synced with upstream systems and ensures that context changes with the data source
• Compounding: Memory captures personalization, durable interaction history, and relevant state that can accumulate and shape future agent behavior.

Join us for a live demo and see the product in action.