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.
An AI-native analytics platform for exploring business data, building dashboards, and delivering insights.
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.
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.
Combine different analysis methods in one environment, allowing technical users to write code while other workflows can use no-code tools or AI assistance.
Generate interactive dashboards from prompts, edit them manually, and share the resulting views with your team.
Schedule analysis and distribute reports to Google Sheets, Slides, Slack, or email. AI-powered alerts can deliver context-aware updates through Slack and email.
Work with data from warehouses, files, spreadsheets, and applications, and build workflows to pull, clean, and analyze it.
Use the Analyst Agent in Slack or connect it to an LLM or chat interface through Fabi's MCP server.
Explore event data, investigate changes in user behavior, and examine retention or cohort patterns without waiting for a custom dashboard.
Analyze CRM, advertising, or website data to review pipeline, campaign performance, attribution, and business metrics.
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.
Combine SQL, Python, and AI to analyze survey responses or reviews, summarize sentiment patterns, and share the resulting report.
Give business teams a way to ask questions of organizational data while administrators configure access to tables and fields and provide relevant business definitions.
The platform supports data exploration and ad hoc analysis using SQL, Python, no-code tools, and AI, along with dashboards and automated workflows.
Automated reports can be delivered to Google Sheets, Google Slides, Slack and email.
Use the Analyst Agent through a Slack app or connect it to an LLM or chat interface using Fabi's MCP server.
Teams can configure table and field access and provide business context and definitions for the AI analyst.
Traffic data is for reference only.
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