CHAT STUDIO

Ask Questions.

Conversational AI that connects to your data, your code, and your documents. The interface for humans who think in questions.

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You know what you want to know.

THE PROBLEM

The data exists. The answer is in there somewhere. But between you and the insight is a wall of SQL, Python, and context-switching.

How do I create a 3D scatter plot in matplotlib?

Here's how to create a 3D scatter plot in matplotlib:

Can you add colors based on the z value?

Just add the

Ask Calliope...

Register from Lab — Data scientists expose curated datasets from AI Lab. One-time setup.

Business-user friendly — Non-technical users chat with data. No SQL required.

Governed access — Users only see what they're authorized to see. Role-based permissions.

Multi-model — Claude, GPT-4, Gemini, or local models. Use what works for each use case.

SQL transparency — See the SQL generated for your questions. Learn, verify, and trust the results.

Always audited — Every conversation logged. Compliance-ready.

Chat Studio remembers context. Multi-turn conversations that build on previous questions. No repeating yourself.

Context-Aware Conversations
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Ask for charts and get them. “Show me a bar chart of sales by region” — rendered inline, exportable, shareable.

Data Visualization
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Data scientists register datasets once in AI Lab. Business users across the organization can then chat with that data — no duplicating connections.

Shared Datasets
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