Company
Rowva exists because clean-looking data is not always trustworthy data.
Business teams are moving faster with AI, reporting, and automation. The data they feed those systems still arrives as messy spreadsheets, inconsistent exports, and unclear fixes.
Operating standard
Trust has to be visible.
Rowva shows what changed, what did not change, what is ready, and what still needs review.
warehouse_messy_data.csv
Public sample cleanup pack
18
source rows
15 rows exported
43
cell fixes
values normalized
4
conflicts
kept for review
Before
After
Why
sku-1001sku_1001SKU normalized
03/14/262026-03-14Date standardized
NY whseNew York DCLocation standardized
Operational Clean Export
15 usable rows for day-to-day spreadsheet work
Compliance-Safe Export
Emails masked and notes restricted
Reporting Package
4 supplier conflicts need review
AI Package
Direct PII remains in source notes
Audit Trail Bundle
Source, transforms, checks, and caveats
Downloadable proof package
The sample page includes source data, clean export, target readiness, mapping, duplicate decisions, before/after diff, change notes, and audit trail report.
Evidence first
Every claim maps to a clean export, change report, readiness note, audit bundle, or trust document.
Operator useful
The default output is built for day-to-day business workflows where policy allows.
Controls stay visible
Safer exports, audit bundles, and readiness caveats stay part of the core workflow.
Talk to us about one recurring file.
Inspect the public sample first, then create a workspace when you are ready to test your own recurring file.