Reimagining Business Intelligence through Generative BI (GenBI)
Wren AI publishes skills that help AI agents answer data questions through a semantic SQL layer over more than 22 databases, including Postgres, MySQL, BigQuery, Snowflake and Spark. Its skills cover connecting SaaS sources such as HubSpot, Stripe and GitHub into DuckDB, generating MDL semantic projects from live schemas, and enriching them with business context like enum meanings, unit conventions and soft-delete rules. Wren AI also offers skills for onboarding to the Wren Engine and for building shareable browser-side GenBI apps deployed to Vercel or Cloudflare.
Wrenai
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Dlt Connector Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analy…
Enrich Context Augment a Wren project with business context that DB schema cannot carry — enum value meanings, u…
Genbi Turn a Wren project's context layer into a shareable, browser-side GenBI web app and deploy it to…
Generate Mdl Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database dr…
Onboarding Onboard a user to Wren Engine end-to-end.
Usage Wren Engine CLI workflow guide for AI agents.
Wren Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snow…