Solution

Ask your database in plain English

Get instant answers from your data without writing SQL. No more waiting on engineering for reports.

How it works

1

Ask a question

Type your question in natural language. “Which deals are stuck?” or “Show me revenue by region.”

2

AI generates SQL

Our AI understands your schema and generates the correct SQL query automatically.

3

Get instant answers

Results appear in seconds. Export, visualize, or share with your team.

Example queries

Which deals are stuck for 14+ days?

Table of deals with stage duration > 14 days

Show me revenue by region for last quarter

Bar chart with revenue grouped by region

What is our customer churn rate this month?

Percentage with trend comparison

List all customers who haven't logged in for 30 days

Customer table with last login dates

Why teams use AI to ask their database

No SQL required

Ask questions in plain English. The AI handles the complex SQL generation.

10x faster decisions

Get answers in seconds instead of waiting days for engineering tickets.

Follow-up questions

Drill deeper with natural conversation. “Why?” and “Show me more” work naturally.

Export anywhere

Download to CSV, Excel, or Google Sheets. Share with stakeholders instantly.

Frequently asked questions

What is natural language to SQL?

Natural language to SQL is technology that converts plain English questions into database queries automatically. AI for Database uses advanced natural language processing to understand your question, map it to your database schema, generate the correct SQL, execute it securely, and return results in seconds. No SQL knowledge is required — you simply type questions like "Show me revenue by region last quarter" and get instant answers from your live data.

Do I need SQL knowledge to query my database?

No. AI for Database is designed for non-technical business users who have never written SQL. You ask questions in everyday language and the AI handles query generation, optimization, and execution. The platform auto-detects your database schema so there is no manual setup. If the AI is unsure about your intent, it asks a clarifying question rather than returning wrong results.

How accurate are AI-generated SQL queries?

AI for Database uses schema-aware query generation that understands your table relationships, column types, and naming conventions. This produces highly accurate queries for the vast majority of business questions. Results are displayed immediately so you can verify them, and you can refine your question with follow-up prompts. For complex analytical queries, accuracy improves as the AI learns your schema patterns over time.

What databases can I query with natural language?

AI for Database supports PostgreSQL, MySQL, MongoDB, Microsoft SQL Server, MariaDB, SQLite, Oracle, Firebase, Firestore, Redis, and Google Sheets. You can connect cloud-hosted databases or on-premise servers. The platform auto-detects your schema on connection and supports querying across multiple databases from a single interface. A self-hosted deployment option is available for teams with strict data residency requirements.

Start asking questions today

Connect your database and get your first answer in minutes.