Fabi.ai

What is Fabi.ai?

Fabi.ai is an advanced data analysis platform that integrates SQL, Python, and AI automation into a single collaborative environment. It empowers data teams to perform complex, ad hoc analyses and generate insights faster by seamlessly blending coding and AI assistance. The platform supports building specialized AI analyst agents, automating workflows, and creating interactive reports and data apps, all with enterprise-grade security and ease of use. Fabi.ai aims to transform data teams into strategic decision centers by streamlining data exploration, reporting, and collaboration.

Key Features

• Integrated SQL and Python Environment

  Seamlessly switch between SQL and Python within one platform to perform advanced data queries and analyses without context switching.

• AI-Powered Analyst Assistance

  Leverages large language models to assist with code generation, debugging, and answering complex data questions, speeding up exploration and reducing errors.

• Specialized AI Analyst Agents

  Build, deploy, and share domain-specific AI agents that deliver reliable insights while maintaining full control over data quality and access.

• Collaborative Smartbooks

  Interactive, AI-enhanced notebooks with real-time collaboration, version control, and reactive cells that automatically update downstream code.

• Automated Reporting and Workflow Integration

  Create and deliver interactive reports on automated schedules, enrich data with AI, and connect workflows to apps like Google Sheets and Slack.

• Enterprise-Grade Security and Compliance

  SOC2 compliant with GDPR and CCPA readiness, featuring encryption, granular access controls, and continuous monitoring.

Use Cases

• Ad Hoc and Exploratory Data Analysis : Data teams can rapidly answer complex business questions by querying multiple data sources and leveraging AI to accelerate insights.
• Product Analytics : Product managers use Fabi.ai to analyze user behavior, track feature usage, and generate reports that inform data-driven product decisions.
• Automated Reporting : Generate and share interactive reports automatically, reducing manual reporting time and improving stakeholder engagement.
• Internal Data Apps : Build interactive, code-light data apps and dashboards to empower teams with easy access to insights and metrics.
• Customer Support and Issue Resolution : CSMs and support agents quickly dig into specific data records to troubleshoot and resolve customer issues efficiently.
• Data Workflow Automation : Automate data enrichment, transformation, and push insights to collaboration tools to streamline business processes.

FAQs