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Fabi.ai

Fabi.ai is an AI-powered data analysis platform that combines SQL, Python, no-code, and AI in one workspace to answer ad hoc questions, run exploratory analysis, build dashboards, and automate insight delivery.

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Fabi.ai is an all-in-one AI data analysis platform that helps data-driven teams answer ad hoc questions, conduct exploratory data analysis, and generate dashboards quickly. It combines SQL, Python, no-code, and AI in a single, unified workspace, and is designed to be usable by both technical data teams and business users such as marketing.

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At the center are Smartbooks, which the company describes as next-generation AI notebooks and an alternative to Jupyter or Google Colab, letting users turn any query or question into a visualization, dashboard, or workflow in minutes. Workflows automate data cleaning, analysis, and delivery, pushing insights and AI-powered, context-aware alerts to where stakeholders already work, including Google Sheets, Slides, Slack, and email. The AI continuously monitors data for changes or anomalies and can trigger custom alerts based on metric thresholds built with SQL and Python.

Fabi.ai connects to data warehouses, files, spreadsheets, and applications, and positions itself as a complement to existing BI tools. It emphasizes enterprise-ready security and compliance, and offers a free-forever tier with a limited number of daily AI requests, with paid plans unlocking unlimited AI, unlimited Smartbooks, and premium connectors.

  • CategoryAI Data Analysis
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Unified workspace combining SQL, Python, no-code, and AI

  • Smartbooks AI notebooks as an alternative to Jupyter and Colab

  • Natural-language questions that generate visualizations and dashboards

  • Automated workflows for data cleaning, analysis, and delivery

  • AI-powered, context-aware alerts to Slack and email

  • Delivery of insights to Google Sheets, Slides, Slack, and email

  • Connectors for warehouses, files, spreadsheets, and applications

  • Enterprise-ready security and compliance

  1. Connect your data: Link warehouses, files, spreadsheets, or applications.

  2. Ask or query: Use natural language, SQL, or Python in a Smartbook to explore your data.

  3. Build outputs: Turn queries into visualizations, dashboards, or workflows.

  4. Automate delivery: Set up workflows to push insights to Sheets, Slack, and email.

  5. Add alerts: Configure AI-powered threshold alerts to catch anomalies proactively.

  • Ad hoc analysis
  • Exploratory data analysis
  • Automated reporting
  • Anomaly alerting
  • Dashboard prototyping

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