Read-only · dbt-aware · production-safe

The dbt AI Agent for teams that can’t afford nonsense SQL.

Ask your warehouse real business questions — SQLBot respects your dbt models, runs read-only, and turns answers into reports your team can trust.

Request early access See how it works

No write access. No metric drift. No “oops, the agent dropped production.” Tiny bar, apparently.

You: Which customer segments grew fastest last quarter?

SQLBot: I found the dbt model fct_revenue, joined it to dim_customer, and used your approved revenue definition.

select segment, sum(revenue) as revenue
from analytics.fct_revenue
join analytics.dim_customer using(customer_id)
where quarter = '2026-Q1'
group by 1
order by revenue desc;

Result: Enterprise grew 28% — mostly from expansion revenue in healthcare and logistics.

Built for governed analytics — not demo-day parlor tricks.

Generic text-to-SQL tools generate queries. SQLBot acts like an analyst who knows your dbt project, your permissions, and the fact that production data is not a playground.

Connect dbt context

Use model names, relationships, and metric definitions so answers match the way your team already works.

Ask in plain English

Turn business questions into SQL, summaries, and scheduled reports — without making every stakeholder learn joins.

Stay read-only

SQLBot is designed for safe analysis. It reads data, explains queries, and avoids destructive access by default.

The wedge is trust.

Everyone can wrap an LLM around SQL. The useful product is the one your analytics engineer does not immediately ban.

dbt-aware answers

Ground questions in models and approved metric logic instead of random warehouse spelunking.

Query review

Show the generated SQL before results — because black-box analytics is how dashboards become fiction.

Scheduled reports

Turn recurring questions into automated reporting workflows for Slack, email, or team review.

RBAC-friendly

Respect access boundaries so users only analyze what they are allowed to see.

Audit trail

Keep a record of prompts, generated SQL, and outputs for review and debugging.

Production posture

Positioned for real teams — not a toy prompt box taped to your warehouse.

For analytics engineers

Stop being the human API for every stakeholder who needs “one quick number.”

“The value is not AI writing SQL — it is AI using the same governed definitions the team already trusts.”