Private product showcase / Working data conversation stack
DataChat
Ask your data a plain question. Get the query, the result, and the path to the chart.
A conversational workbench for databases
Why this changes the game
Three reasons to care.
“Who are our best customers?” becomes a visible, inspectable query.
Stream large answers safely with validation, cancellation, cache, and history.
Move from question to result to the right chart and key insight in one conversation.
Proof today
The current machine, without mythology.
The application has demonstrated its Claude-to-SQL Server path and includes schema-aware generation, dangerous-query blocking, resource checks, streaming, cancellation, timeouts, priorities, cache, history, audit metrics, multiple model providers, and adapters for major databases. Every adapter still earns its own live proof.
Leaders know the business question; engineers know the schema and syntax. Waiting for translation slows the decision and hides how the answer was produced.
DataChat brings schema context, swappable model providers, visible SQL or PySpark, safety checks, streaming results, history, visualization guidance, and insights into one shared conversation.
The connected stack
Nothing powerful lives alone.
The door is open