Seek AI screenshot

What is Seek AI?

Seek AI is a free tool that converts natural language questions into SQL queries, making database analysis accessible without requiring SQL knowledge. Instead of writing code, users can ask questions in plain English and the tool generates the corresponding SQL to retrieve answers from their databases. The tool is designed for business users, analysts, and teams who need to query data but lack SQL expertise. It bridges the gap between non-technical stakeholders and data, allowing faster exploration and reporting without waiting for database administrators or engineers to write custom queries. Being free makes it particularly useful for small teams, startups, or organisations testing self-service analytics workflows before committing to paid business intelligence platforms.

Key Features

Text-to-SQL conversion

Ask questions in English and receive SQL queries automatically

Self-service analytics

Enables non-technical users to query databases independently

Free access

No cost to start using the tool for basic analytics queries

Direct database querying

Works with connected databases to return actual results

Natural language interface

Uses conversational language rather than technical syntax

Pros & Cons

Advantages

  • No SQL knowledge required; makes data analysis accessible to wider teams
  • Free pricing removes barriers to adoption and testing
  • Speeds up query creation compared to manual SQL writing
  • Reduces dependency on technical staff for basic data questions

Limitations

  • May struggle with complex multi-step queries or highly specific database logic
  • Accuracy depends on clear question phrasing; ambiguous queries may produce incorrect SQL
  • Limited control over query optimisation compared to hand-written SQL

Use Cases

Sales teams analysing pipeline and revenue data without technical support

Marketing departments querying campaign performance and customer behaviour

Finance teams exploring spending patterns and budget utilisation

Product managers examining user engagement and feature adoption metrics

Operations teams investigating workflow bottlenecks and process efficiency