QueryZy
QueryZy lets non-technical users chat with CSV, JSON, ARROW and PARQUET files in natural language, right in their browse
The Problem
Non-technical people who need to analyze data files today face steep learning curves around databases, query syntax, Excel formulas and pivot tables. They either spend hours or days trying to import and manipulate a simple dataset, or give up and hand it off to IT. This slows down decision-making and creates friction for anyone who just wants answers from their data without becoming a technical expert first.
The Solution
QueryZy is a browser-based tool that lets users import data files (CSV, JSON, ARROW, PARQUET) via drag and drop or URL, then chat with that data using natural language instead of writing queries or formulas. Under the hood it uses DuckDB and WebAssembly so files are processed locally and never leave the user's device, and AI translates natural language questions into SQL. Users can also plot results into charts and export resulting tables and charts, covering the full flow from importing to cleaning, filtering, aggregating, visualizing and exporting data, or converting between the supported file formats.
