VerbaGPT - Talk to your data without compromising privacy

VerbaGPT Talk to your data without compromising privacy

What is VerbaGPT?

VerbaGPT revolutionizes data analytics by providing a secure interface between users and their data through natural language processing. The platform's distinctive architecture ensures data privacy by limiting LLM access to only schema information and user-authorized column details, while enabling powerful analytical capabilities directly on local hardware.

The platform supports comprehensive data analysis functionalities, from basic queries to advanced features including data visualization, complex statistical modeling, and report generation. It seamlessly integrates with major database platforms like Snowflake and AzureSQL, making it a versatile solution for enterprise-level data analysis.

Features

Privacy-First Architecture: Restricts LLM access to only schema information
Natural Language Queries: Process complex data questions using conversational language
Advanced Analytics: Supports data modeling, visualization, and statistical analysis
Database Integration: Compatible with Snowflake and AzureSQL
Local Processing: Ability to run on local hardware for enhanced security
Report Generation: Automated creation of analytical reports
Visual Analytics: Advanced charting and plotting capabilities

Use Cases

Data exploration and analysis
Statistical modeling and machine learning
Business intelligence reporting
Database querying and management
Data visualization and presentation
Privacy-compliant data analytics
Enterprise data analysis

FAQs

How does VerbaGPT maintain data privacy?

VerbaGPT's architecture ensures that the LLM only accesses database schema and user-authorized column details, never the actual data. It can run locally on your hardware, and future updates will include local models for completely offline analytics.
What types of databases does VerbaGPT support?

VerbaGPT supports various database types including CSV files, Snowflake, and AzureSQL databases.
What types of analysis can be performed using VerbaGPT?

Users can perform basic queries, data aggregation, create visualizations, conduct statistical modeling, generate reports, and build machine learning models including neural networks and linear regression.