AI analyst with business context
Ask business questions in plain English and get answers grounded in your connected data, rather than copying queries into separate tools.
Fabi.ai is an AI-powered data analysis platform for product, revenue, and GTM teams. Combine SQL, Python, and AI to build dashboards and automate insights from connected data.
Fabi.ai is an AI-powered data analysis platform for teams that need ad hoc analysis, dashboards, and automated data workflows across product, revenue, and GTM data. The site describes it as an AI-native business intelligence platform that works with as much or as little code as the user wants.
The platform combines SQL, Python, AI assistance, and collaborative notebook-style workflows. Its product pages emphasize three main surfaces: Analyst Agent for self-service analysis and governed answers, Smartbooks for AI-native notebooks, and Workflows for automated insight delivery.
Ask business questions in plain English and get answers grounded in your connected data, rather than copying queries into separate tools.
Generate SQL for data retrieval and Python for advanced analysis, visualizations, and machine learning models.
Connect to spreadsheets, data warehouses, and applications, and merge multiple sources in memory when analysis needs more than one dataset.
Let teams collaborate in shared reports while each user works with their own AI agent and live data.
Control access by dataset and configure field and table permissions so AI agents only work with approved data.
Create dashboards and workflows from analysis, then keep them up to date with automatic refresh and scheduled runs.
Use Analyst Agent to answer one-off business questions without bouncing between chat tools, spreadsheets, and warehouse queries.
Build interactive dashboards and reports from SQL and Python analyses, then publish them for teammates to explore and refresh on schedule.
Automate insight delivery with Workflows so updates can be sent to Slack, email, or spreadsheets on a recurring cadence.
Use Smartbooks for notebook-based analysis when you need reactive cells, collaboration, and code-first exploration with AI assistance.
Apply the platform to GTM, product, and revenue questions where governed access and shared context matter for team workflows.
Fabi Analyst Agent is built for AI-powered data analysis on connected business data, with context from your sources and business semantics. The page positions it as different from general-purpose chat tools because it works inside a collaborative platform and can produce reproducible analyses and dashboards.
The source says Analyst Agent can generate both SQL and Python code. It uses SQL to retrieve data and Python for advanced analysis, visualizations, and machine learning models.
Yes. The product page says Analyst Agent can help build AI analytics dashboards, and that Smartbooks can be turned into published dashboards or reports in a few clicks. Dashboards can also refresh automatically on schedule.
The pages mention Slack and an MCP server for bringing the product into a chat environment, along with workflow outputs to email, spreadsheets, and Slack. The source does not provide a complete list of integrations.
The site shows enterprise-ready security messaging and states SOC2 compliant, GDPR ready, and CCPA ready. It also says teams can configure field and table access for governance and control.
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