AI for Database

AI for Database is a platform that lets business teams query live databases using natural language, without writing any SQL. Simply connect a PostgreSQL, MySQL, MongoDB, SQL Server, or Google Sheets data source, then ask questions like "Which regions are losing margin this week?" The AI translates your plain-English question into SQL (or aggregation pipelines for MongoDB) and returns results as tables, charts, or single values. The tool goes beyond simple chat: it allows you to turn any answer into a shareable dashboard, schedule recurring reports, and set up automated workflows that trigger actions in Slack, email, webhooks, or Google Sheets when data changes. Role-based access and team invites are included, making it suitable for sales, operations, product, and leadership teams who need live data without depending on engineering. AI for Database offers a free tier with open-source AI models and up to 3 workflows. Pro costs $19/month and unlocks premium models (GPT-4o, Gemini, Claude), unlimited workflows, webhook integrations, and priority support. Enterprise plans include self-hosting, SSO, and bring-your-own-model capabilities. The system reads from a read-only database mirror by default, ensuring production data safety. What sets it apart is its "Ask → Build → Act" pipeline: it treats each query as a composable artifact. You can refine a question, save it as a dashboard widget, add it to a scheduled report, and attach a workflow — all from the same interface. This reduces reliance on BI tools and data analysts for routine operational intelligence.