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Fabi.ai

Build, deploy & share specialized AI data analyst agent

Dedicated AI agents that deliver reliable insights while giving data teams complete control over data quality and access. Enable true self-service analytics with specialized, domain-specific agents that work exclusively with your curated data.

Specialized AI data agents

  • Focused agents that work within defined dataset boundaries set by the data team

  • Multi-step problem solving with self-correction and validation

  • Works with curated datasets in conjunction with your semantic layer

  • Handles advance use cases with Python and LLMs

Use Cases

Let the AI handle the follow-up requests

Deploy agents in minutes

Cut self-service analytics AI launch time from months to minutes. Deploy specialized agents that instantly enable self-service analytics for specific business domains.

Domain-specific analyst agents

Create dedicated agents for marketing, product, customer success, and more - each working with their own curated datasets for maximum reliability.

Advanced data analysis

Don’t just expect simple data pulls from the AI. Thanks to text-to-Python and LLMs, Analyst Agent can handle complex analyses.

Tight guardrails

Configure the agent to operate within tightly defined data boundaries that you’ve created, providing nearly 100% accuracy within any given report.

Use any data source

Leverage and even merge any number of data sources when building your agents.

Features that deliver true self-service

Dataset-based architecture

Skip the complex semantic layer. Simply point agents at curated datasets for faster deployment and more reliable results.

Real-time data syncs

Keep agents in sync with the latest data changes and user-applied filters in reports.

Multi-step validation

Thanks to custom tools, agents can validate their own work and check for edge cases & data quality issues with transparent access to underlying code before answering.

Python-powered analysis

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

Business context awareness

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

Universal data connectivity

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

Built-in collaboration

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

Enterprise-grade infrastructure

Built on scalable, secure architecture with instant agent deployment and SOC2 compliance.

Granular access control

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

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