Fabi.ai

Fabi.ai is an AI spreadsheet generator tool. Fabi.ai combines an AI analyst agent, scheduled data workflows and AI-assisted Python notebooks over warehouses, spreadsheets and business apps, aimed at both marketing teams and data practitioners.

Fabi.ai is an AI-native business intelligence platform built around an analyst agent that answers questions about product and revenue data, assembles dashboards, and runs recurring data workflows. The pitch is breadth of technique: users can work in SQL, in Python notebooks, or through no-code interface elements, and combine those approaches inside a single analysis rather than exporting between tools. Everything sits on top of the data sources a company already uses, including warehouses, spreadsheets and business applications. The core surfaces are three. The AI Analyst Agent handles exploratory work, generating answers and chart-ready output from plain questions and building dashboards from a described layout. Workflows take that analysis and schedule it, pushing insights to Slack, email or spreadsheets on a cadence the business sets, with connectors reaching spreadsheets, warehouses and apps. Smartbooks cover the hands-on layer: AI-assisted Python notebooks with reactive cells, collaborative editing and version control through GitHub, so analytical work stays reviewable rather than trapped in a chat log. Practically, the tool serves two audiences at once. Marketing, growth and operations teams get self-service answers inside a governed environment and dashboards they can customise without writing code. Data analysts and analytics engineers get the notebook environment and dev conventions they expect, plus an MCP server that plugs a Fabi data analyst into a preferred LLM or chat interface. Published customer stories include ecommerce, fitness, hardware and SaaS companies, which matches the product-and-revenue framing on the homepage. Fabi.ai competes with traditional BI tools and with AI notebook products, positioning itself between them. Teams that want a single governed place for ad hoc questions, recurring reporting and collaborative notebook work are the clearest fit. Teams wanting only static dashboards, or only a conversational layer over one warehouse, will find more focused options.