The Rise of CaaS: Context-as-a-Service for Agentic AI

Official Schedule Context

Agentic workflows have commoditized. The new bottleneck is context. As models improve, AI agents

are increasingly limited not by reasoning ability, but by the quality, freshness, and specificity of

the information they can access. This session introduces Context as a Service, or CaaS, an

emerging category for builders creating web-native context layers for AI agents. These tools

collect, structure, enrich, index, and analyze live web data, making it available as agent-ready

knowledge for specific use cases and vertical downstream applications. We ll explore how builders

are turning hard-to-access web domains into agent-ready context layers: fragmented public data,

dynamic sources, multimodal content, and fast-changing signals that generic models cannot reliably

process within their token limits. Attendees will learn how to think about CaaS as both a

technical architecture and a market opportunity: what to build, where context creates defensibility,

and how raw web data can become the foundation for reliable agentic products.

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