Blog
Building the delivery layer for the company brain.
Product thinking and technical architecture for teams turning trusted company context into dependable software infrastructure.
The company brain is already taking shape in your data stack
Cerebras built a serious internal knowledge system from familiar infrastructure. Most data teams can adopt the same pattern without waiting for a new specialist function.
Agents can use Qry endpoints today
Call a trusted data endpoint directly, wrap it in your own MCP server, and see what Qry's native MCP layer will make simpler.
Why production agents need deterministic data tools
Semantic models help agents explore business data. Repeatable workflows need narrower interfaces with predictable behavior.
Introducing the dbt-native workflow for Qry
Build and test trusted models where your team already works, then publish them as secure production APIs.
Refresh latency and read latency are different problems
Qry separates the work of making trusted data current from the work of serving it, so freshness and responsiveness can be designed independently.
The company brain needs a delivery layer
As the warehouse becomes a source of context for software, teams need a controlled path from trusted models to production systems.