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Fabi.ai

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An AI-native analytics platform for exploring business data, building dashboards, and delivering insights.

What is Fabi.ai?

Fabi.ai is an AI-native business intelligence and data analysis platform for product, revenue, marketing, and data teams. It connects to data sources such as warehouses, files, spreadsheets, and applications, then supports analysis through SQL, Python, no-code tools, and AI. Teams can explore data, create interactive dashboards, and automate the delivery of reports and alerts to collaboration tools. The platform is designed for both technical and non-technical users, with governance controls for table and field access and options to add business context for the AI analyst.

What can Fabi.ai do?

AI Analyst Agent

Ask business questions about connected data in natural language. The agent can assist with ad hoc analysis and use configured table and field access, business context, and semantics.

SQL, Python, no-code, and AI analysis

Combine different analysis methods in one environment, allowing technical users to write code while other workflows can use no-code tools or AI assistance.

Interactive dashboards and data apps

Generate interactive dashboards from prompts, edit them manually, and share the resulting views with your team.

Automated reports and alerts

Schedule analysis and distribute reports to Google Sheets, Slides, Slack, or email. AI-powered alerts can deliver context-aware updates through Slack and email.

Data connections and workflow processing

Work with data from warehouses, files, spreadsheets, and applications, and build workflows to pull, clean, and analyze it.

Slack and MCP access

Use the Analyst Agent in Slack or connect it to an LLM or chat interface through Fabi's MCP server.

Use Cases

“Answer product analytics questions”

Explore event data, investigate changes in user behavior, and examine retention or cohort patterns without waiting for a custom dashboard.

“Support sales and marketing decisions”

Analyze CRM, advertising, or website data to review pipeline, campaign performance, attribution, and business metrics.

“Deliver recurring team reports”

Schedule analysis and send updated results to team destinations such as Sheets, Slides, Slack, or email, so stakeholders can receive findings in their existing workflows.

“Investigate customer feedback”

Combine SQL, Python, and AI to analyze survey responses or reviews, summarize sentiment patterns, and share the resulting report.

“Enable governed self-service analytics”

Give business teams a way to ask questions of organizational data while administrators configure access to tables and fields and provide relevant business definitions.

Frequently Asked Questions

What kinds of analysis can I do in Fabi.ai?

The platform supports data exploration and ad hoc analysis using SQL, Python, no-code tools, and AI, along with dashboards and automated workflows.

Where can automated reports be delivered?

Automated reports can be delivered to Google Sheets, Google Slides, Slack and email.

Can people use the Analyst Agent outside the Fabi.ai interface?

Use the Analyst Agent through a Slack app or connect it to an LLM or chat interface using Fabi's MCP server.

How are access and business context managed?

Teams can configure table and field access and provide business context and definitions for the AI analyst.

Quick Facts

Category
Business intelligence and data analysis
Primary users
Product, revenue, marketing, and data teams
Analysis methods
SQL, Python, no-code, and AI
Workflow destinations
Google Sheets, Google Slides, Slack, and email
Access options
Fabi.ai platform, Slack app, and MCP server

Fabi.ai Traffic Analysis

Traffic data is for reference only.

Domain Rating
38

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