AI for Database is a natural-language interface for databases that lets non-technical teams query live data, build auto-updating dashboards, and trigger workflows—all without writing SQL. It connects to PostgreSQL, MySQL, MongoDB, SQL Server, SQLite, Oracle, Redis, Firebase, Google Sheets, and more, and runs as a cloud-hosted or self-hosted platform by the team at AI for Database.
What is AI for Database?
AI for Database transforms how business teams interact with their data. You ask questions in plain English (e.g., “which stores had refund spikes this week?”), and the AI returns a chart, table, or anomaly report alongside the SQL it generated—every answer is auditable and reproducible. The product supports read-only connections by default, encrypts credentials with AES-256, and offers SOC 2 compliance and full audit logging. It can be deployed in your own infrastructure via self-hosted Docker containers.
Key Features
- Natural language queries — Ask any question about your database in plain English; the AI translates it to SQL and shows the exact query run. Supports follow-up questions and exports to CSV or Google Sheets.
- Auto-generated dashboards — Turn any answer into a shareable, scheduled dashboard with one click. Charts update automatically when underlying data changes.
- Database-driven workflows — Trigger Slack alerts, emails, webhooks, or CRM updates when conditions are met (e.g., “when inventory for any SKU drops below 10 units, email operations”). Workflows are defined in plain English with no node graphs.
- Broad integration catalog — Connects to 12+ databases (PostgreSQL, MySQL, MongoDB, SQL Server, SQLite, Oracle, Redis, Firebase, Google Sheets) and 20+ action targets (Slack, email, webhooks, Salesforce, HubSpot, Notion, Airtable, AWS, Azure, GCP).
- Read-only & audited — All connections start read-only. Every query and action is logged, and your data never trains third-party models. SOC 2 readiness and self-hosted option available.
- Free models included — The Free plan uses open-source AI models; the Pro plan adds premium models (GPT-4o, Gemini, Claude) with unlimited workflows.
Who is it for?
- Sales managers — Ask “which deals are stuck for 14+ days?” to get a table and chart, then automatically notify the owner in Slack.
- Operations teams — Monitor inventory with “which SKUs are running low?” and have the system email the reorder list when conditions are met.
- Product managers — Answer “which features drive retention?” with usage analysis and trends, then sync insights to the product roadmap.
- Founders and general managers — Get a financial health dashboard from “what is our cash runway?” and schedule weekly executive reports.
What can you do with AI for Database?
- Ask and act on refund spikes — Query “show stores where refunds spiked this week,” receive an anomaly chart, and alert the finance team via Slack or email.
- Automate churn tracking — List customers likely to churn using a prompt, sync the list to your CRM, and set up recurring notifications.
- Build inventory dashboards — Ask “which SKUs are running low?” to generate an inventory dashboard, then email operations when stock drops below a threshold.
- Monitor pipeline health — Pull “stuck deals from last month” into a pipeline report and create a Slack reminder for the sales team.
How does AI for Database work?
- Connect your database (cloud or self-hosted) in minutes—no schema training required.
- Ask a question in natural language; the AI generates and executes the SQL, then shows the result and its reasoning.
- Build dashboards or reports from any answer with one click; schedule them to refresh automatically.
- Act by defining a workflow (e.g., “when refunds > 30% in a region, alert Slack”)—the system checks conditions hourly and logs every fire.
