Hyperparam – Browser-native AI tool for real-time large dataset inspection and transformation

Summary: Hyperparam is a browser-based tool designed to inspect, score, label, filter, and transform multi-gigabyte datasets such as Parquet, JSONL, and CSV files in real time. It enables natural language queries to manipulate data instantly and exports cleaned results in the original file formats, supporting both client-side and secure server storage.

What it does

Hyperparam allows users to open massive datasets directly in the browser, interact with data via chat-based natural language commands to score, label, categorize, and filter rows, create new columns, and export the processed data in Parquet, JSONL, or CSV formats.

Who it's for

It is intended for AI and ML engineers, data scientists, researchers, and product teams working with large, unstructured datasets who need to explore, debug, and clean data efficiently.

Why it matters

Hyperparam addresses the challenge of handling and transforming large AI datasets quickly without requiring SQL or complex setup, enabling faster data triage and analysis.