Fast CSV Cleaner for ML Workflows

A high-performance data cleaning tool optimized for preparing CSV files for machine learning and analysis. Uses Polars backend for blazing-fast processing (4+ seconds vs. 200+ second timeouts), targeting data scientists and ML engineers.

The explosion of ML workflows in production environments has created real demand for tooling that sits between raw data ingestion and model training — a gap that spreadsheet tools and pandas can't reliably fill at scale. Pandas AI and Great Expectations touch adjacent problems but neither is optimized specifically for the speed-critical CSV preprocessing step that regularly causes pipeline timeouts. The $1k–5k/mo revenue band is realistic but tight: this is a tool people will pay for once, or grab via a one-time license, making recurring SaaS conversion the actual hard problem. The biggest risk is commoditization — Polars itself is free, well-documented, and fast, so a motivated data scientist can replicate the core value in an afternoon, which means the product lives or dies on UX and workflow integrations rather than the underlying performance claim.