AI Analyst Agent

An AI data analyst that understands your business

Drive growth with better insights. Instant access to a team of virtual data scientists that supercharge your existing data, product and GTM teams.
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AI Analyst Agent

Loved by teams that deliver better, faster insights

The old way

Jumping between tools, copy-pasting code and data

The new way

AI integrated in a complete, collaborative platform

Exporting data to ChatGPT and copy/pasting SQL queries and formulas.

Incessant ad hoc questions, interrupting critical work.

Exporting and screenshotting conversations with AI to share findings with your team.

Needing a PhD in data engineering to configure sufficient context for AI to be useful.

An all-in-one AI-native platform that connects directly to all your data sources.

An AI analyst with context of your business to help answer the most common questions from the business.

Save your insights as interactive dashboards that stay up to date with your data, in just a few clicks.

An AI analyst that operates on plain English context with strict governance and auto-learns as the team engages.

Use Cases

Unlock growth with AI-driven insights in minutes

Next-gen self-service analytics

Give everyone in your business instant access to a personal data scientists to answer ad hoc questions or simply explore hunches.

Agentic data workflows

More than just an assistant. AI that works 24/7 and finds insights and shares them with the team even while you sleep.

Generate interactive dashboards and workflows

Generative BI is finally here. Simply tell the Analyst Agent what you want to build and watch it do the work. Jump in and manually make any edits and stay in full control.

Bring Analyst Agent to your favorite chat

Handle ad hoc requests by bringing Analyst Agent right to where you and your team work. Simply install Fabi in Slack or add it to your LLM of choice with Fabi's plug-and-play MCP server. No more context switching, insights come to you.

Complete governance and control

Stay in complete control at all times. Configure field and table access and provide additional context and semantics as needed or let the AI auto-learn. All in plain English, no PhD in data engineering required.

Next-gen self-service analytics

Give everyone in your business instant access to a personal data scientists to answer ad hoc questions or simply explore hunches.

Agentic data workflows

More than just an assistant. AI that works 24/7 and finds insights and shares them with the team even while you sleep.

Generate interactive dashboards and workflows

Generative BI is finally here. Simply tell the Analyst Agent what you want to build and watch it do the work. Jump in and manually make any edits and stay in full control.

Bring Analyst Agent to your favorite chat

Handle ad hoc requests by bringing Analyst Agent right to where you and your team work. Simply install Fabi in Slack or add it to your LLM of choice with Fabi's plug-and-play MCP server. No more context switching, insights come to you.

Complete governance and control

Stay in complete control at all times. Configure field and table access and provide additional context and semantics as needed or let the AI auto-learn. All in plain English, no PhD in data engineering required.

Features

An AI data analyst that understands your business

Python-powered analysis
Complex analysis like regression models and propensity scoring without writing code, using your preferred AI engine (OpenAI, Anthropic, or your private LLM).
Business context awareness
AI that understands your business context and helps users refine their questions to get more meaningful insights.
Universal data connectivity
Connect to any data source and merge multiple sources in memory - from spreadsheets to data warehouses.
Built-in collaboration
Give every user their own AI agent within shared reports, accessing live data without affecting others.
Granular access control
Control exactly what data users can access by deploying AI agents that only work with approved datasets.
AI data analysis
Use the power of AI to explore and understand your data 10X faster.

Fabi.ai is transforming the way insights are gathered and consumed in the enterprise. Any company not using Fabi.ai is choosing to operate at a disadvantage.

Somrat Niyogi
Somrat Niyogi
Founder - Recall Capital
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Frequently Asked Questions

How is Fabi Analyst Agent different than other AIs like ChatGPT and Claude?

Fabi Analyst Agent is designed specifically for AI-powered data analysis. It's designed to work with your data sources and business context to maximize accuracy. It's also fully embedded in a real-time collaborative environment, making it possible to quickly share reproducible analyses with your team.

What code languages does Analyst Agent generate?

Fabi's Analyst Agent generates both SQL and Python code. It can write SQL queries to pull data from your warehouse and Python code for advanced analysis, visualizations, and machine learning models.

Can AI replace SQL for data analysis?

AI doesn't replace SQL, but it makes SQL accessible to more people. Databases still require SQL to retrieve data, but AI can generate those queries for you based on natural language questions.

Can Analyst Agent build dashboards?

Yes, Analyst Agent can help build dashboards. You can ask it questions to generate the analysis, visualizations, and metrics you need, then convert your Smartbook into a published dashboard or report in just a few clicks. The dashboards are built using SQL and Python, so they're fully customizable and can handle everything from simple charts to complex machine learning models. They also refresh automatically on schedule and stay synced with your latest data.

Can I configure the AI based on our business?

Fabi's AI Analyst Agent learns from your data and can also be manually configured to use the context and semantics specific to your business.

What are the key benefit of Analyst Agent for GTM, product and founders?

Product managers, GTM, RevOps, marketing ops and other teams that require data to excel can perform ad hoc analysis and self-service their analytics needs. They can pull insights and create dashboards with natural language queries in minutes rather than filing tickets with the data team for answers.

What are the key benefits of Analyst Agent for the data team?

Analyst Agent reduces the workload on data teams by enabling true self-service analytics. The key advantage is control. Data teams define exactly what data each agent can access, so there's no risk of the AI fabricating answers or pulling from the wrong sources. The code is always visible and transparent, so teams can verify what the AI is doing. Data teams spend less time answering repetitive questions and more time on strategic work, while business users get faster answers with confidence in the data quality.