Fabi.ai's Analyst Agent let's you build, deploy, and share dedicated AI agents in minutes

Fabi.ai launches Analyst Agent, helping data teams deploy specialized AI data analysts in minutes that work with curated datasets for self-service analytics.

SAN FRANCISCO , CA, UNITED STATES, February 25, 2025 /EINPresswire.com/ -- Fabi.ai today announced the launch of Analyst Agent, a groundbreaking product feature that gives data teams the ability to deploy specialized AI data analysts in minutes, making self-service analytics an achievable goal. Unlike traditional, general AI analytics agents that rely on complex, pristine semantic layers and one-size-fits-all approaches, Analyst Agent introduces domain-specific AI agents that work exclusively with curated datasets, ensuring unprecedented accuracy and reliability in business intelligence.

"Modern companies face a critical challenge: enabling true self-service analytics while maintaining data quality and security," said Marc Dupuis, CEO of Fabi.ai. "Analyst Agent addresses this by letting data teams deploy focused AI agents that work within carefully defined boundaries set by data practitioners, dramatically reducing time-to-insight while eliminating the risks of AI hallucination and data misinterpretation."

Key capabilities of Analyst Agent include:
- Dataset-Based Architecture: Data teams can deploy specialized agents in minutes by connecting to any data source and curating specific datasets
- Python-Powered Advanced Analytics: Beyond simple SQL queries, agents can perform sophisticated analyses including regression models and custom scoring without requiring users to write code
- Enterprise-Grade Security: Built with SOC2 compliance and granular access controls, ensuring AI agents only work with approved datasets
- Real-Time Data Synchronization: Agents automatically stay in sync with the latest data changes and user-applied filters in reports
- Universal Data Connectivity: Support for seamless integration with any data source, from spreadsheets to data warehouses

The platform addresses a critical gap in the market for reliable self-service analytics. While existing solutions often stumble due to semantic layer complexity, data quality and reliability issues, Analyst Agent's focused approach enables nearly 100% accuracy within defined domains. This allows business users to confidently explore data independently while giving data teams complete control over quality and access.

"Instead of trying to build a one-size-fits-all AI solution, we've created a platform that lets data teams deploy specialized agents for specific business domains," explained Dupuis, "This targeted approach ensures reliable insights while dramatically reducing the time data teams spend on routine analytics requests."

New and existing users of Fabi.ai can get started and deploy their first agent in under 30 minutes for free as part of the platform’s Starter plan. For more information, visit https://fabi.ai.

About Fabi.ai
Fabi.ai combines SQL, Python, and AI automation into one collaborative platform that helps data teams conquer complex and ad hoc analyses. Through its flagship products–including Analyst Agent, Smartbooks, Smart Reports, and Workflows–Fabi.ai helps companies deploy specialized AI agents, conduct advanced data exploration, build AI-powered data workflows and create interactive reports, all while maintaining enterprise-grade security and governance. By bringing together the power of specialized AI agents with comprehensive data analysis capabilities, Fabi.ai transforms how organizations analyze, share, and act on their data.

Marc Dupuis
Fabi.ai
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