Fabi.ai is an AI-powered data analysis platform designed for data teams and business users who need to extract insights from multiple data sources without heavy engineering overhead. It integrates SQL, Python, and an AI Analyst Agent into a single collaborative environment called Smartbooks, enabling users to query databases, build dashboards, and automate reports using natural language. In February 2026, Fabi launched Fabi 2.0, positioning itself as an AI data analyst that works across all data sources including databases, data warehouses, flat files, Google Sheets, and third-party applications such as Stripe, HubSpot, and Google Analytics. The AI Analyst Agent autonomously handles the full analysis pipeline: discovering relevant data sources, using RAG to find applicable table and column schemas, generating SQL or Python code, validating queries with dry runs, executing them, and formatting results for stakeholders. Fabi also offers a plug-and-play MCP (Model Context Protocol) server in beta, allowing the Analyst Agent to be integrated directly into external LLM interfaces such as Claude and Cursor, as well as a Slack integration. This enables teams to query their data from within existing workflows without switching tools. The platform is aimed at product, engineering, marketing, and data teams that need to answer ad hoc data questions quickly and share findings as automated reports delivered via email or Slack. Customer case studies cited on the site include obé Fitness (75% reduction in analysis time), Hologram (94% reduction in time to revenue insights), and Lula Commerce (30 hours of manual work saved per week). Key features: - AI Analyst Agent that generates SQL/Python, validates queries, and formats results autonomously - Fabi 2.0 connects to databases, data warehouses, flat files, Google Sheets, Stripe, HubSpot, and Google Analytics - Smartbooks: collaborative AI notebooks combining SQL, Python, and natural language queries - MCP server (beta) for integrating the Analyst Agent into Claude, Cursor, and other LLM tools - Slack integration for querying data and receiving automated reports in existing workflows - Automated report delivery to stakeholders via email or Slack on a schedule - Interactive dashboard generation from natural language questions - RAG-based schema discovery for accurate query generation across complex data models
Free tier available. Paid plans start at $39/month per seat. Team plan at $199/month includes extra seats and unlimited reports. Enterprise plan available with custom pricing.