Fabi is an AI-powered data analysis platform that combines SQL, Python, and AI in one workspace. Its AI analyst agents connect to the tools a business already uses — CRMs, ad platforms, analytics, and warehouses — and generate dashboards, charts, and answers from natural language prompts, so teams can start for free and explore their data without heavy engineering work.
Fabi is built heavily around go-to-market and business reporting. Ready-made analyses cover marketing pipeline and attribution, advertising performance, CRM reporting, website traffic, Stripe revenue, user retention cohorts, and sentiment analysis of survey and review text. AI-assisted code generation produces interactive Python dashboards in minutes, from simple charts to machine learning models. Teams can also build and deploy AI Analyst Agents that give colleagues self-service analytics, handling follow-up questions on shared dashboards automatically.
The company’s stated mission is to make insights from data available to everyone in the enterprise, on the premise that in the future anyone will be able to ask questions in plain language and get quick, accurate answers no matter how complex or messy the underlying data is. Dashboards built in Fabi are interactive and reactive rather than static screenshots, and results can be shared with teammates so insights stay aligned across sales, marketing, and product functions. Prebuilt templates shorten setup time by packaging common analyses — attribution, retention, revenue health — into reusable starting points.
Fabi follows a Freemium model — users can get started for free, with paid plans for expanded usage and team deployment. Current pricing details are available on the Fabi website.
Fabi is designed for go-to-market, marketing, sales operations, and product teams, as well as data practitioners who want AI help writing queries and code while keeping SQL and Python control over the analysis.