01
Context-Aware Conversations
Chat Studio remembers context. Multi-turn conversations that build on previous questions. No repeating yourself.
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CHAT STUDIO
Ask questions. Get answers.
Multi-model conversational AI connected to your databases, code, and documents — the interface for people who think in questions, not SQL. Governed access, audited conversations, deployed inside your perimeter.
You know what you want to know. You just can't get there.
THE PROBLEM
The data exists. The answer is in there somewhere. But between you and the insight is a wall of SQL, schemas, and tribal knowledge — only certain people know where the data lives and how to query it.
Chat Studio removes the wall. Ask in plain English, get answers from your actual data. The AI handles the translation — you stay focused on the thinking. Unlike a generic chatbot, it connects to your data, with your permissions, inside your perimeter.
Data scientists set up the plumbing once. The whole org gets self-service.
Register data sources once in AI Lab; everyone can chat with them — no database credentials or SQL knowledge required per person.
Register from Lab — Data scientists expose curated, documented 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 Capabilities
02
Data Visualization
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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03
Shared Datasets
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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Where teams put Chat Studio to work.
For data teams
Natural-language queries against your data warehouse. “Show me customer churn by segment for Q4” becomes a SQL query, executed, and visualized — in seconds.
For engineers
Ask questions about your codebase. “Where is the authentication logic?” “What does this function do?” “How should I implement rate limiting here?”
For researchers
Search and summarize documents. “What do our internal docs say about the new compliance requirements?” “Summarize the key findings from these papers.”
For everyone
A single interface for organizational knowledge. No more “who do I ask about X?” — just ask Chat Studio.
Built for environments where data security is non-negotiable.
- Role-based access control — Users only see data they're authorized to access.
- Query auditing — Every question and answer is logged for compliance.
- Data residency — Deploy on-premise or in your cloud; choose local models for complete isolation.
- PII detection — Content scanning catches sensitive data before it's exposed.
- Policy enforcement — Zentinelle policies control what can be asked and answered.
