Turn Your Analysts Into 10x Data Scientists

Data analysts spend 80% of their time wrestling with tools. Writing SQL. Debugging Python environments. Waiting for queries. Context-switching between notebooks, documentation, and Stack Overflow.

The actual analysis—the work that drives decisions—gets squeezed into whatever time remains.

AI Lab changes the equation.

What is AI Lab?

AI Lab is JupyterLab with an AI assistant built in. Not bolted on. Not a separate window you alt-tab to. Built directly into your notebook workflow.

Connect your data sources. Ask questions in plain English. Get SQL, Python code, and visualizations. The AI handles the translation—you stay focused on the thinking.

The Question-Answering Machine

Here’s how it works:

You ask: “Show me sales trends by region for Q4”

AI Lab: Writes the SQL, executes it against your connected database, visualizes the results—all in your notebook.

You ask: “Which customers churned last month and why might that be?”

AI Lab: Queries the data, correlates with other signals, provides analysis with supporting evidence.

You ask: “Generate a correlation matrix for these variables”

AI Lab: Writes the pandas code, creates the visualization, explains the results.

You stay in control. You see exactly what the AI is doing. But the friction of translating thoughts into code disappears.

Pre-Configured Environments

No more “works on my machine.” AI Lab comes with:

• Python, R, and 300+ packages ready to go
• pandas, numpy, scipy, scikit-learn, matplotlib bundled
• Consistent environments across your entire team
• No setup required—just start working

Connect Any Data Source

AI Lab connects to your actual data:

• Databases: PostgreSQL, MySQL, SQLite, Snowflake, BigQuery
• Files: CSV, Excel, Parquet, JSON, NetCDF
• Cloud storage: S3, GCS, Azure Blob
• APIs: REST endpoints, internal data lakes

Connect once, query forever. The AI knows your schema and suggests relevant queries.

Dataset Sharing with Chat Studio

Here’s where it gets powerful: AI Lab isn’t just for data scientists.

Data scientists connect data sources, curate datasets, and set permissions in AI Lab. Then they register those datasets for Chat Studio with one click.

Business users across the organization can then chat with that data in plain English—no SQL required, no database credentials needed. Data scientists do the plumbing once. Everyone benefits.

Enterprise-Ready

AI Lab runs within your security perimeter:

• Role-based access: Users only see data they’re authorized to access
• Query auditing: Every query logged for compliance
• Secrets management: Database credentials managed centrally, never in notebooks
• Data residency: Deploy on-premise or in your cloud

Multi-Model Support

Use the right model for each task:

• Claude for complex reasoning and analysis
• GPT-4 for quick completions
• Gemini for long-context understanding
• Ollama/Local for sensitive data that can’t leave your network

Switch models anytime. Your workflow stays the same.

Stop Wrestling with Tools

AI Lab gives your data team the environment they need to be 10x more productive—with the governance your security team requires.

The actual analysis should be the job. Not the tool setup.

Get started with AI Lab →