Beyond Generic Chatbots

ChatGPT is great for general questions. But ask it about your company’s Q3 sales numbers, your internal documentation, or your customer data? It has no idea.

Chat Studio connects AI to your actual data. Not generic training data. Your databases, your documents, your knowledge bases.

Chat with Your Data

Here’s the difference:

Generic AI: “What were our sales last quarter?” → “I don’t have access to your company’s data.”

Chat Studio: “What were our sales last quarter?” → Queries your connected database, returns actual numbers, cites sources.

Chat Studio doesn’t guess. It queries, retrieves, and cites.

How It Works

1. Data scientists connect sources in AI Lab—databases, document collections, APIs
2. They curate datasets with appropriate permissions and context
3. They register datasets for Chat Studio with one click
4. Business users chat with that data in plain English

No SQL required. No database credentials for end users. Just natural language questions and real answers.

SQL Transparency

Want to see the work? Chat Studio shows you the SQL it generates. Ask “show me the query” and you’ll see exactly how it arrived at your answer.

This isn’t a black box. It’s transparent AI that explains its reasoning.

Multiple Data Sources, One Interface

Chat Studio can query across:

• Databases: PostgreSQL, MySQL, SQLite, Snowflake, BigQuery
• Documents: PDFs, Word docs, internal wikis
• APIs: REST endpoints, internal services
• Files: CSV, Excel, Parquet

Ask questions that span multiple sources. Chat Studio synthesizes answers from wherever the data lives.

Governed by Design

Every Chat Studio deployment includes:

• User permissions: Only see data you’re authorized to access
• Query logging: Every question and answer recorded for compliance
• Content policies: Prevent sensitive data exposure
• Rate limits: Control usage and costs

Your data team sets the guardrails. Users get the answers they need.

Use Cases

Executive dashboards: “What’s our current runway?” “How did marketing perform this month?”

Support teams: “What’s the status of ticket #12345?” “Show me this customer’s order history.”

Sales teams: “Which accounts renewed last quarter?” “What’s the pipeline for Q1?”

Operations: “What’s our current inventory of X?” “Show me shipments delayed this week.”

Shared Dataset Model

Data scientists do the hard work once:

• Connect to data sources
• Write the schema documentation
• Set up appropriate filters and permissions
• Register for Chat Studio

Everyone else benefits. Sales, marketing, ops, executives—anyone can ask questions without learning SQL or getting database credentials.

Multi-Model Support

Use the right model for each task:

• Claude for nuanced analysis and reasoning
• GPT-4 for quick questions
• Gemini for long documents
• Local models for sensitive data

Switch models anytime. Your data connections stay the same.

Stop Playing Data Telephone

“Can you pull me sales by region?” → Analyst gets request → Writes query → Exports CSV → Emails back → “Actually, can you break it down by product too?”

That loop is broken. Chat Studio lets anyone ask the data directly—with appropriate permissions, full audit trails, and instant answers.

Get started with Chat Studio →