Approach
AISelf-serve on governed models.
TraditionalAnalyst-built reports per request.
Stop being the bottleneck for every question. Let stakeholders self-serve answers with an AI data agent governed on your trusted data models.

The easy 80% self-serves. Your analysts reclaim time for high-leverage work.

Every answer uses the metric definitions your team certified. No shadow metrics. No debates.

Connect once. The data team curates models once, the whole company benefits.
Approach
AISelf-serve on governed models.
TraditionalAnalyst-built reports per request.
Speed
AIReal-time, instant answers.
TraditionalDelayed by the ticket queue.
Governance
AIGrounded in your trusted semantic layer.
TraditionalDefinitions drift across teams.
Scale
AIScales access without scaling headcount.
TraditionalBounded by analyst capacity.
Usability
AIConversational. Stakeholder-friendly.
TraditionalRequires SQL or BI skills.
Connect your warehouse and semantic models.
Stakeholders ask questions in natural language.
Get governed, AI-generated dashboards in seconds.
Your AI data analyst connects to all your data
dbt
dbt
dbt
dbt
PostgreSQL
MySQL
kintone
PostgreSQL
MySQL
kintone
PostgreSQL
MySQL
kintone
PostgreSQL
MySQL
kintone“Our stakeholders self-serve the easy questions now, so the data team finally has time for the hard ones.”
Yes. The AI data agent reasons on top of your trusted semantic layer, so every self-serve answer uses the exact metric definitions your team has certified. Governance and speed stop being a trade-off.
No. Squadbase deflects the repetitive, low-leverage requests so your analysts can focus on high-value modeling work. The data team curates the models once, and the agent handles the rest.
Squadbase connects to Snowflake, BigQuery, dbt, Redshift, Postgres, Looker, Tableau, and spreadsheets. It works across your existing stack without forcing a new data silo or migration.
Yes. Stakeholders ask questions in plain English and get answers grounded in your governed data models. They never touch the underlying SQL or schema directly.
Business definitions are stored as tested, executable code rather than free-text descriptions. Every answer runs the same certified logic, so you get the same correct number every time, regardless of who asks.
Scale data access without scaling headcount, with an AI data agent governed on your trusted models.