Built for teams who can't afford to trust bad data.

Sohovi is a privacy-first data quality tool built for data analysts, engineers, and small business teams who need to understand and improve the quality of their data — without sending it to third-party servers.

Traditional enterprise DQ platforms take months to implement, cost a fortune, and still require your data to travel to someone else's infrastructure. We built Sohovi because we were frustrated by that trade-off.

How it works

When you drop a CSV or Excel file into Sohovi, everything — profiling, scoring, rule evaluation, PII detection — runs inside a sandboxed Web Worker in your browser. No file bytes ever leave your device. The only data we store are your DQ scores, rule configurations, and run metadata — never your actual rows.

You can verify this yourself: open DevTools → Network tab, then drop a file in Sohovi. You'll see zero outbound requests containing your file data.

Our approach to data quality

Sohovi scores data across 10 ISO-standard quality dimensions: completeness, accuracy, consistency, validity, uniqueness, integrity, timeliness, currency, conformity, and precision. Every score uses a transparent formula — no black-box algorithms, no proprietary weighting.

We believe data quality tooling should be understandable. If your completeness score drops, Sohovi tells you exactly which columns failed and why.

Contact

Questions, feedback, or partnership enquiries — reach us at hello@sohovi.com. Sohovi was built by Selva Santosh, who also writes the Sohovi blog.