Basedash is the AI-native Business Intelligence platform that lets you create dashboards and understand your customers using natural language. Connect your data, describe the chart you want, and let AI generate the visualization. No SQL required.
This is the 24th launch from Basedash: AI data analyst. View more
Basedash SCIM
Launched this week
Basedash SCIM keeps workspace identity aligned with the directory your company already manages. As people join, change teams, or leave, users, groups, and organization memberships stay current—reducing app-by-app cleanup and helping leaders answer who still has access. Together with SSO, RBAC, and RLS, it gives enterprise teams more confidence to roll Basedash out without turning identity administration into a bottleneck. Your org changes. Access keeps up.
Free Options
Launch Team
How does Basedash handle data accuracy when the AI misinterprets what you're asking for, and is there an easy way to edit or refine the generated query afterward?
Curious how it handles really messy or inconsistent data sources — does it flag schema issues on its own, or do you have to clean things up first before it can build something useful?
how does it handle complex joins across multiple tables, or do you basically need a clean, pre-modeled dataset before it starts being useful?
Connected my postgres db and asked for a chart of weekly active users, got a clean visualization in seconds. The natural language piece feels polished, not just a wrapper.
Basedash: AI data analyst
Connected my postgres database and asked for a weekly active users chart - got a clean visualization in like 30 seconds without touching any SQL. The natural language piece actually works better than I expected.
connected my postgres db and asked it to chart weekly active users and the chart actually matched what i'd write by hand. the natural language piece feels less gimmicky than i expected.