---
title: "The Rise of CaaS: Context-as-a-Service for Agentic AI"
category: "talks"
date: "2026-06-30"
time: "1:55pm-2:15pm"
track: "Computer Use"
room: "Track 7"
speakers: ["Omer Primor"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Computer Use"
scheduleRoom: "Track 7"
scheduleLabels: ["Computer Use", "Track 7", "session", "confirmed"]
---
# The Rise of CaaS: Context-as-a-Service for Agentic AI

## Conference Context
- Date/time: 2026-06-30 · 1:55pm-2:15pm
- Track/room: Computer Use · Track 7
- Speaker(s): Omer Primor
- Session type/status: session · confirmed

- Track: Computer Use
- Room: Track 7
- Session type: session
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[omer-primor]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# The Rise of CaaS: Context-as-a-Service for Agentic AI ## Conference Context - Date/time: 2026-06-30 · 1:55pm-2:15pm - Track/room: Computer Use · Track 7 - Speaker(s): Omer Primor - Session type/status: session · confirmed - Track: Computer Use - Room: Track 7 - Session type: session - Status: confirmed ## Session Description 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.

### Speaker And Company Context
- [[omer-primor|Omer Primor]] — role not listed at [[bright-data|Bright Data]].

### Topics Covered
- [[agent-security]]
- [[agentic-web]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- [[agent-ready-accessibility|Agent-Ready Accessibility]] — Designing for agents and designing for accessibility converge around explicit structure, reachable controls, and understandable state.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.