Connect a datasource
Attach Postgres or MySQL once and let DeepQuery inspect the schema.
Schema-aware AI analytics
Ask operational data questions. Get answers you can use.
DeepQuery helps teams query operational SQL data in plain English, keep business data in place, and turn strong answers into reusable dashboards.
Built for operators, analysts, founders, and internal tools teams that need faster answers from live structured data.
PostgresMySQLRead-only executionPer-user dashboardsAuth0-protected workspaceMCP tools
Platform
One workflow from question to trusted answer
The product is designed around the core things teams care about most: fast comprehension, trustworthy execution, and a clean path to repeatable analysis.
Ask the question you actually have
Describe the metric, region, team, or period in business language.
Review, share, and save
See the result, inspect the query path, and pin the answer into a reusable dashboard.
Why it feels different
- Ask in plain English and still get schema-aware, SQL-backed answers.
- Keep customer business data in its source system instead of copying it into another app database.
- Save the best answers as dashboards tied to the user and datasource context that produced them.
Teams
Built for technical and non-technical teams in the same workspace
Business teams
Move from ad hoc questions to clear answers without turning every request into a ticket.
Analysts and operators
Check tables, joins, and SQL details while staying in the same product flow.
Internal tools teams
Reuse the same engine from the web workspace or through MCP for automation and agents.
Security and control
Keep business data in the source system and keep DeepQuery focused on product state
DeepQuery is designed so the application database stores DeepQuery-owned metadata, while customer data remains in the operational systems teams already trust.
- Read-only SQL checks run before execution.
- DeepQuery stores product state like datasources and dashboards, not customer business tables.
- The same query engine supports people in the UI and tools through MCP.
FAQ
A few quick answers
Does DeepQuery copy customer data into its own database?
No by default. DeepQuery is designed to query operational data where it already lives. The DeepQuery database stores product metadata such as datasources, dashboards, and related application state.
Which data sources are supported right now?
The current product supports demo, Postgres, and MySQL datasources. The connector model is extendable, so more providers can be added without changing the core workspace experience.
Can answers become dashboards for different users?
Yes. Useful query results can be saved into per-user dashboards that stay associated with the selected datasource.
Start exploring
Connect a datasource, ask the question, save the answer
Use the workspace to run live, schema-aware analytics against operational SQL data and keep the strongest answers ready for the next conversation.
Continue to DeepQuery