Integrating diverse public and structured data into a unified knowledge layer enables AI to contextualize information and empower tailored, data-specific agent tasks.

By connecting various data sources—ranging from technical metrics to metadata and query logs—into a rich, automatically generated knowledge base, AI agents can perform sophisticated tasks like natural language querying and workflow automation. This layered architecture transforms fragmented data into actionable intelligence, crucial for addressing large-scale societal projects.