Ask questions of governed business data and build dashboards, reusable metrics and automated analytics workflows.
Basedash is an AI-oriented business intelligence platform that connects business data to natural-language analysis. Users can ask a question, inspect the resulting SQL and turn an answer into a dashboard. The platform also includes data syncing, storage and modelling, so shared definitions can guide analysis instead of being recreated in each conversation.
Basedash Models combines transformations with a semantic layer. A team can define a dataset, measures, segments and a time dimension, then reuse those definitions across chat, charts and recurring workflows. For example, an active-customer or recurring-revenue definition can remain consistent when several departments ask related questions. Generated queries are visible and can be reviewed against the underlying source.
The platform connects to existing databases and warehouses or provides its own warehouse workflow. Its documented catalogue includes PostgreSQL, MySQL, Snowflake, BigQuery and business applications such as Salesforce, HubSpot and Stripe. This gives analysts a way to combine operational questions with the systems where the relevant records already live.
Natural-language requests can create dashboards, while insights and automations support repeat analysis. A Slack app and MCP server provide additional access paths. Reusable skills store instructions for recurring AI work, and embedding is available for teams that need analytics inside another product. The appropriate combination depends on who will consume the results and which controls the deployment requires.
The published Startup plan covers up to 25 users for a flat platform price plus AI usage, with a monthly AI credit allowance. A 14-day trial allows evaluation before purchase. Enterprise arrangements cover larger deployments and requirements such as self-hosting, identity management and custom models. Role-based permissions and governed metrics support shared use, but they do not eliminate the need to validate a business definition. Teams should test representative questions, reconcile important totals and confirm which sources each user may access before relying on a generated dashboard for operational decisions.
