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VerbaGPT

Talk to your data with AI-powered queries

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About

VerbaGPT is an artificial intelligence tool designed to allow users to interrogate their data using natural language. The solution is built to simplify data analytics whilst ensuring data privacy.

Data can be questioned either from an uploaded CSV or directly from SQL databases and answers can be provided swiftly. The service does not simply facilitate data aggregation; it can be used to create data plots, carry out complex queries, and execute data modelling.

Moreover, it boasts a unique architecture that prevents direct access to user data by the AI. Rather, the AI is only exposed to the database schema (e.g., table and column names) or the details of the columns specifically permitted by the user.

VerbaGPT accomplishes its tasks while maintaining a focus on delivering the most user-friendly experience possible. Beyond abstract data exploration, the tool is also capable of working with specific sectors, such as providing analysis for climate research data.

The roadmap is anticipating a potential move towards including local models for fully offline analytics. A variety of interfaces allow users’ data access through VerbaGPT such as Snowflake and AzureSQL.

VerbaGPT interface showing homepage

Key Features

Interrogates data using natural language
Simplifies data analytics
Ensures data privacy
Works with CSV and SQL databases
Swift responses
Data aggregation capability
Creates data plots
Capable of complex queries
Performs data modelling
User-friendly experience
Abstract data exploration
Sector-specific analysis capability
Ready for climate research data
Anticipates offline analytics
Supports Snowflake and AzureSQL
Interactive data through Q&A
Local run option
Live demo available
Multi-join query capability
Offers advanced charting
Generates reports
Plans for local models
Conditional count functionality
Polymodeling features
Neural network compatibility
Multiple models creation
Generates histograms
Climate research specialization
Flexible data access

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Information

Pricing

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Favorites 0
Release Date July 22, 2023

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