Analyst Agent by Fabi.ai: An AI data analyst that understands your business

An AI data analyst that understands your business

Drive growth with AI. Instant access to a team of virtual data scientists that supercharge your existing data team, handle ad hoc requests and automatically deliver insights right where your team works.

Wasted time spent writing boilerplate code and debugging rather than exploring data and uncovering insights

Incessant ad hoc questions from the business, interrupting critical work.

Underutilized and under-explored data to help make product and go-to-market decisions.

Days wasted building and fixing dashboards no one looks at.

AI built for data analysis that writes 95% of the code even for the most technical data teams.

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

Insights that help drive critical decisions to grow your business, right at your fingertips.

Insights delivered right where your team works: Slack, email, Claude, ChatGPT.

Complex analysis like regression models and propensity scoring without writing code, using your preferred AI engine (OpenAI, Anthropic, or your private LLM).

AI that understands your business context and helps users refine their questions to get more meaningful insights.

Connect to any data source and merge multiple sources in memory - from spreadsheets to data warehouses.

Give every user their own AI agent within shared reports, accessing live data without affecting others.

Control exactly what data users can access by deploying AI agents that only work with approved datasets.

Use the power of AI to explore and understand your data 10X faster.

RisingWave

ClickHouse

Airtable

Google Slides

MySQL

PostgreSQL

Gmail

BigQuery

Amazon Redshift

Googles Sheets

Slack

GitHub

dbt Labs

MotherDuck

Snowflake

ClickHouse

Databricks

Bitbucket

Microsoft Teams

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.

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.

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.

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.

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.

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.

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.