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Your data agents need context.
This site is now centered on a simple infrastructure thesis: enterprise agents are only as good as the business context, system context, and decision context they can reliably access.
Understand the shift
Why the modern data stack set the stage for agent adoption, and why the first wave of deployments still hit a wall.
Read section →Go beyond text-to-SQL
See why better model performance alone does not solve enterprise data reasoning without business definitions and source-of-truth context.
Read section →See the context layer
Explore what a modern context layer needs to include beyond semantic models: entities, governance, tribal knowledge, and live update flows.
Read section →Read the market map
A quick framing of where data gravity platforms, AI analyst tools, and dedicated context-layer companies are heading.
Read section →