Fabi is an AI-powered SaaS platform that enables users to build interactive dashboards directly from various data sources like CRMs, ad platforms, and spreadsheets. It leverages AI-assisted code generation and analyst agents to automate data visualization and provide self-service analytics capabilities. The platform supports SQL and Python integration for advanced data exploration and reporting across sales, marketing, and product teams.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
EVFounders
Product
Problem
Data teams often struggle with fragmented workflows, requiring them to switch between multiple tools for querying, analysis, and reporting. This context switching slows down the process of generating insights and hinders collaboration among team members. Furthermore, routine data tasks consume valuable time that could be spent on more strategic analysis.
Solution
Fabi.ai is a collaborative platform that unifies SQL, Python, and AI automation to streamline data analysis and reporting workflows. The platform enables data teams to query data, perform advanced analysis, and generate interactive reports within a single environment. Its AI assistant accelerates exploration, coding, and debugging, while reactive cells automatically update downstream analyses when upstream data changes. By centralizing the data workflow and automating repetitive tasks, Fabi.ai helps teams generate insights faster and improve decision-making efficiency.
Target Audience
Fabi.ai targets data scientists, data analysts, and other data professionals who need to perform ad hoc analysis, build reports, and collaborate on data projects.
Features
- Unified environment for SQL querying, Python scripting, and AI-powered data analysis
- AI assistant that provides code suggestions, debugging assistance, and automated data enrichment
- Smartbooks for creating shareable, interactive reports with customizable filters
- Reactive cells that automatically update downstream analyses when upstream data changes
- In-memory joins for seamless integration of data from multiple sources, including CSV uploads
- Automated workflows for data enrichment, transformation, and pushing insights to other applications
- Integration with existing data stacks and support for custom connectors
- SOC2 compliant, GDPR ready, and CCPA ready security measures