What is Shape?
Shape is an AI-powered data analyst tool that transforms the way you interact with your data. Instead of writing complex SQL queries or waiting for reports, you can simply ask questions in plain English and get instant, accurate answers. Shape connects directly to your databases, such as PostgreSQL, MySQL, BigQuery, and Snowflake, and uses advanced natural language processing to understand your intent. It automatically generates optimized queries, runs them against your data, and presents the results in clear visualizations or tables.
Key features include support for complex analytical questions, such as aggregations, filters, joins, and time-based calculations. Shape can handle nuanced queries like "What is the category with the most refunds in terms of count for the last complete calendar month?" or "Which big cities with over 100 ticket sales had the highest refund rate?" It intelligently interprets terms like "last month" as the last complete calendar month and adjusts for business logic. The tool also respects data privacy and security, ensuring that sensitive information remains protected.
Benefits include significant time savings for data analysts and business users, reducing the need for manual query writing and debugging. It democratizes data access, allowing non-technical team members to explore data independently. Use cases range from e-commerce refund analysis to sales performance tracking, customer segmentation, and operational metrics. Technical details: Shape supports multiple data sources, provides a REST API for integration, and offers a no-code interface for instant querying. It is designed for teams that need fast, reliable data insights without the overhead of traditional BI tools. With Shape, you can book a call to see how it fits your workflow and get started immediately.
Use Cases
Key Features
natural language queries direct database connections automatic query generation complex analytical support time based calculations data visualizations data privacy protection instant accurate answersWho is it for?
data analysts, business users, product managers, marketing teams, finance teams, operations teams, data scientists
