Materialize Inc. released its July 2026 product update, adding blue-green cutovers for Kafka sources, AWS Glue Schema Registry support, PostgreSQL physical replica support, and Iceberg sinks on Google…
A live context graph reduces AI spend by eliminating redundant token consumption during agent data setup, according to a July 29, 2026 analysis. The approach shifts schema resolution, joins, and trans…
Materialize has launched two built-in MCP servers in public preview, one for application agents to query live business data products and one for developer agents to inspect the system catalog, both ru…
A live context graph is a shared set of governed real-time data products that model core business entities and maintain relationships between them, enabling agents to retrieve fresh, consistent contex…
Large language model agents rely on search as their primary interface to the world, making search freshness a correctness problem rather than a mere UX issue. If search results are stale, agents canno…
Materialize announced 28 weekly releases to build a live context graph for AI agents, enabling real-time data feedback loops. The platform now includes an MCP Server for agent discovery and querying, …
Materialize has been using LLM-based coding agents since February 2026 to find bugs in existing code and open pull requests, coinciding with the release of Anthropic's Opus 4.6. The system scans pull …