Product overview
What is Fabi.ai?
Fabi.ai is an AI-native business-intelligence platform for analyzing product, revenue, marketing, finance, and operational data. It combines an AI analyst with SQL, Python, and no-code tools so technical and non-technical users can perform ad hoc analysis, build dashboards, and automate recurring insights.
The platform includes Smartbooks collaborative notebooks, generated dashboards and data apps, scheduled workflows, templates, version control, integrations with spreadsheets, warehouses, CRMs, advertising systems, and an MCP server that brings the analyst into compatible chat interfaces.
How to Use Fabi.ai
- Connect a spreadsheet, data warehouse, application, CRM, or other supported source.
- Ask the Analyst Agent a business question or begin analysis in a Smartbook.
- Mix generated SQL, Python, no-code operations, and visualizations as needed.
- Turn the analysis into a dashboard, data app, or reusable workflow.
- Schedule delivery to Slack, email, or spreadsheets and collaborate with the team.
Core Features
- AI Analyst Agent: Answers data questions and supports exploratory analysis.
- SQL, Python, and no-code: Mixes technical and visual analysis methods.
- Smartbooks: Provides collaborative AI notebooks with reactive cells.
- Dashboards and data apps: Generates interactive reports from prompts and analysis.
- Automated workflows: Runs analysis on a schedule and delivers insights to business tools.
- MCP and version control: Connects the analyst to chat clients and supports GitHub workflows.
Use Cases
- Product analytics: Explores user behavior, retention, and product performance.
- GTM analytics: Analyzes CRM, pipeline, sales, and marketing data.
- Executive reporting: Builds recurring dashboards and business reports.
- Ad hoc analysis: Uses SQL, Python, and AI for rapid investigation.
- Finance analytics: Tracks revenue, payments, and business-health metrics.
Frequently Asked Questions
Is Fabi.ai only for data teams?
No. The homepage presents it for product, growth, marketing, finance, and data teams.
Can users write code?
Yes. SQL and Python can be combined with no-code and AI-assisted analysis.
Can analysis be automated?
Yes. Workflows can run on a schedule and deliver insights to Slack, email, and spreadsheets.
