Talk to Your Data

Make LLMs Actually Useful for Your Data.

Connect your database. Ask questions in plain English. Get charts, insights, and analysis.

Create with a prompt.

No credit card required · Try with sample data

Encryption at rest
TLS encryption in transit
Role-based access control

Connects to Your Data

PostgreSQL
MySQL
MSSQL
Snowflake
CSV Excel JSON PDF Google Drive

Data is Abundant. Insights are Rare.

Three critical bottlenecks prevent organizations from unlocking their data's potential

SQL is a Bottleneck

Most people who need data insights can't write SQL or Python. They wait days for data teams, slowing decision-making.

The reality: 80% of business users can't write queries. They email data teams, wait in backlogs, and by the time they get results, the question has changed.

VerbaGPT's solution: Natural language to Python/SQL. Ask questions like "What were top 10 products last quarter?" and get instant results with charts. No code required.

Context is Missing

LLMs don't know your data structure, column meanings, or business logic. They hallucinate wrong queries without context.

The problem: Generic LLMs don't understand that "customer_id" links to "clients" table, or that "status=2" means "active". They generate plausible-sounding but wrong queries.

VerbaGPT's solution: Data Notes provide a contextual layer describing tables, columns, and business logic. LLMs see this context automatically, generating accurate queries every time.

Prompts Fail

Most users don't know how to prompt LLMs effectively. Vague questions yield vague answers, wasting credits and time.

The challenge: Effective prompting is a skill. Users ask "show me data" when they mean "create a time-series chart of monthly sales by region with 95% confidence intervals."

VerbaGPT's solution: Footnotes and Prompt Libraries. Colleagues share effective prompts organization-wide. Consultancies package domain expertise as licensed prompt packs for clients.

Two Modes. Infinite Possibilities.

Choose the right tool for your workflow: cloud-powered analytics or local AI agent

Virgo

Cloud-Powered Analytics

Fast, efficient data analysis in your browser. Connect to cloud databases and get instant insights with charts and statistical analyses.

  • Multi-model support: GPT-4, Claude, and other frontier models via modern providers
  • Smart schema selection: AI filters only relevant columns
  • Files + databases: Upload CSV, Excel, PDF, or import from Google Drive alongside live DB connections
  • Production-ready: Web app at app.verbagpt.com with multi-user support

How it works:

  1. Ask a question in natural language
  2. Virgo uses embeddings to find relevant schema columns
  3. Generates Python code with SQL queries
  4. Executes safely in sandboxed environment
  5. Returns results with charts and tables

Best for:

  • • Standard analytics queries
  • • Team collaboration (shared chat history)
  • • Production web deployments
  • • Cost-effective at scale
Virgo Mode Interface

Taurus

Local AI Agent

Powerful agentic workflows running on your machine. Iterative problem-solving with multi-step reasoning for complex analyses.

  • Claude Code powered: Advanced agentic reasoning
  • Local execution: Full system privileges and file access
  • Exploratory workflows: Perfect for data science projects

How it works:

  1. Taurus agent receives your question
  2. Plans multi-step approach (inspect schema → query data → analyze → visualize)
  3. Executes tools iteratively (Python REPL, SQL, schema inspector)
  4. Self-corrects errors and refines approach
  5. Returns comprehensive analysis with context

Best for:

  • • Complex statistical modeling
  • • Exploratory data science
  • • Local database connections
  • • Maximum privacy (data never leaves your machine)
Taurus Mode Interface

Enterprise-Grade Features

Everything you need to transform how your organization works with data

Data Notes

Automated data dictionary that travels with your data. Add context once, benefit organization-wide.

Data Notes solve the context problem. Describe your database structure, table relationships, column meanings, and business logic in plain English. VerbaGPT automatically includes this context when generating queries.

Levels: Database, Table, Column, Value, and Sample questions. Non-prescriptive schema allows you to add exactly the context that matters.

Team benefit: Data admins curate once. All users benefit from accurate, context-aware queries automatically.

Data Notes Interface

Prompt Libraries

Package expertise as reusable prompts. Share internally or license to clients as domain-specific knowledge packs.

Most people don't know how to prompt LLMs effectively. Prompt Libraries democratize expertise by capturing proven, effective prompts in reusable collections.

Internal use: Share best practices org-wide. Marketing team's top 20 prompts → instant access for new hires.

Revenue opportunity: Consultancies can package domain expertise (e.g., "Healthcare Analytics Prompts" or "Financial Modeling Library") and license to clients.

Auto Rank: Type your question, VerbaGPT suggests relevant prompt templates from your libraries. One click to apply and customize.

Model Choice & Cost Control

Avoid vendor lock-in while getting the best balance of quality, speed, and cost.

Virgo can orchestrate multiple frontier models via modern providers, using one model for schema reasoning, another for code generation, and another for review — without changing your workflows.

You gain flexibility to experiment with new models and pricing, while keeping a single, consistent product experience for your teams.

Taurus is currently powered by Claude Code, with a model-agnostic architecture designed to support additional local agents as they become available.

Security & Governance

Designed for serious, multi-user environments where data access and ownership matter.

Authentication & Access Control: JWT-based authentication, bcrypt-hashed passwords, and role-based permissions (user, admin, org) control access throughout the app. Sensitive operations verify ownership at the database level.

Encryption at Rest: All data is encrypted at rest using AES-256 encryption, including user credentials, chat history, and datasource configurations.

Encryption in Transit: All connections use TLS 1.3 encryption (HTTPS) between your browser and VerbaGPT servers. Database connections use SSL/TLS encryption for secure communication.

Infrastructure: VerbaGPT runs on enterprise-grade managed cloud infrastructure with environment isolation, automated backups, and 99.9% uptime SLA.

Privacy: VerbaGPT does not use your chat history or data to train AI models. Your data remains yours.

Advanced Analytics

Beyond SQL queries. Statistical modeling, machine learning, and custom visualizations via Python.

VerbaGPT is Text-to-Python, not just Text-to-SQL. This unlocks capabilities impossible with SQL alone:

  • Statistical modeling: Regression, time-series forecasting, hypothesis testing
  • Machine learning: Classification, clustering, decision trees
  • Advanced visualizations: Heatmaps, 3D plots, interactive dashboards (Plotly)
  • Custom analysis: Combine multiple data sources, complex transformations

Example: "Create a predictive model for customer churn using decision trees. Show feature importance and confusion matrix." VerbaGPT generates Python code with pandas, scikit-learn, and matplotlib automatically.

Advanced Chart Example

Footnotes & Inspiration

Semantic search for helpful prompts shared by colleagues. Get unstuck with domain-specific examples.

The challenge: "What questions should I even ask?" New team members don't know what's possible. Footnotes solve this.

How it works: Colleagues add helpful prompts as "footnotes" tagged with context (e.g., "sales analysis" or "inventory forecasting"). VerbaGPT uses semantic search to surface relevant examples when you need them.

Organization-wide learning: Junior analysts benefit from senior colleagues' expertise. Tribal knowledge becomes institutional knowledge.

Turn Knowledge into Revenue

For consultancies and knowledge-rich firms: VerbaGPT unlocks new business models

License Your Proprietary Data

Make your datasets accessible to clients without exposing raw data. They chat with AI, you maintain control and monetize access.

Example: Market Research Firm

You've collected 10 years of consumer behavior data. Traditional approach: Sell static reports or raw data exports (easily copied/shared).

VerbaGPT approach: License access to your database via VerbaGPT. Clients ask questions like "What are Gen-Z spending trends in sustainable fashion?" and get instant AI-generated insights.

Benefits:

  • Data stays secure: Clients never see raw data
  • Recurring revenue: Subscription model vs. one-time sale
  • Scalable: No custom dashboards per client
  • Higher perceived value: AI-powered insights > static reports

Package Your Expertise

Capture domain expertise as licensed prompt packs. Clients get your proven workflows, you monetize intellectual property.

Example: Healthcare Consulting Firm

Your team has 20 years of expertise in hospital operations optimization. You've built frameworks for staffing analysis, patient flow modeling, cost reduction strategies.

VerbaGPT approach: Capture your methodologies as Prompt Library packs (e.g., "Healthcare Analytics Pro Pack"). Hospital clients license these packs and get your expert prompts integrated into their VerbaGPT.

What you include:

  • 50+ proven prompts for common healthcare analytics
  • Best practices for staffing analysis, cost modeling, etc.
  • Customizable templates clients can adapt
  • Regular updates as methodologies evolve

Benefits:

  • Recurring revenue: Subscription for updates
  • Scalable: No consultant hours required per client
  • Competitive moat: Your IP becomes product
  • Client value: They hit the ground running with expert prompts

See VerbaGPT in Action

Watch how natural language transforms into powerful data insights

Frequently Asked Questions

A few answers to common questions from data teams and enterprise buyers.

Who is VerbaGPT for? +
VerbaGPT is built for data-rich organizations that want non-technical users to ask powerful questions, and for knowledge-rich firms that want to productize their expertise as data and prompt libraries.
Is this just text-to-SQL? +
No. VerbaGPT is text-to-Python, which includes SQL but also statistical analysis, modeling, data cleaning, and visualization. Virgo turns natural language into executable Python tailored to your datasources.
Can I analyze files without a database? +
Yes. Upload CSV, Excel, JSON, PDF, or Word files directly—or import from Google Drive. You can query files alone or combine them with live database connections in the same conversation.
Do I have to install Taurus? +
No. Virgo is available via the web app at app.verbagpt.com. Taurus is an optional local install for advanced users who want deeper, agentic workflows on their own machines.
How is VerbaGPT hosted? +
VerbaGPT is deployed on modern managed cloud infrastructure with environment isolation and encrypted connections. Application-level security—authentication, roles, and data access checks—is implemented directly in VerbaGPT.
How is pricing handled? +
Plans and billing are managed directly inside the application at app.verbagpt.com. The landing page focuses on the product and vision, while the app handles account creation, subscription management, and upgrades.
Can I white-label VerbaGPT with my organization's branding? +
Yes. For Team and Enterprise plans, VerbaGPT can display your organization's logo and branding. Your team sees a seamless experience that matches your company identity. Contact us to learn more about white-label options.

Ready to Transform Your Data Workflow?

Join organizations making LLMs actually useful for data analysis and knowledge work.

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