Messy business files in. Clean, import-ready outputs out.
Built for SME owners, bookkeepers, and operations teams. Upload a recurring CSV, spreadsheet, or business document and Rowva detects what it is, cleans what can be trusted, labels blockers, and prepares the right package for accounting, ERP, CRM, reporting, or AI.
Only upload files you are authorized to process. Rowva shows what changed and can block outputs when privacy or quality risks remain.
Messy file
CSV, XLSX, customer lists, product sheets, invoices, or operational exports.
Detected workflow
Rowva identifies the business file type, fields, duplicates, and source-quality risks.
Clean package
Download business-ready files for operations, accounting, ERP, CRM, reporting, or AI.
Review blockers
Missing fields, PII risks, duplicate conflicts, and partial readiness stay visible.
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.
Real operating context
Show the kinds of files and teams Rowva is actually built for.
See Rowva in the finance, inventory, commerce, and operations work that people already need cleaned every week.
File understanding
Messy business documents arrive mixed together
Spreadsheets, PDFs, exported tables, notes, and invoices need context before anyone can trust the output.
Commerce workflows
Retail and commerce teams need clean operating files
Sales, stock, and customer exports need the right rows, consistent dates, and visible caveats before handoff.
Inventory operations
Food and inventory teams care about recurring weekly cleanup
Counts, locations, waste, and supplier data need a usable spreadsheet, not another analytics platform.
Review and proof
Operations leaders need proof before they promote a file
Alerts, exceptions, and blocked fields stay visible instead of getting buried behind a clean-looking export.
Public proof
Inspect a complete sample before you create an account.
The public warehouse pack turns the homepage claim into downloadable proof: messy source, clean export, target readiness, mapping, duplicate decisions, before/after diff, change notes, and audit trail report.
No-signup scanner
Want to test your file shape before signup?
Paste a small CSV or choose a local file and Rowva will flag obvious structural risk, PII hints, mixed dates, duplicate rows, and download readiness.
One run
From messy input to purpose-built outputs.
The visual below shows the product flow customers care about: detected file quality, reviewable checks, and downloads labeled by downstream use.
Messy input
Rowva checks
Outputs
What proves value
Every promise comes with a file you can inspect.
Rowva gives buyers the finished file, the diff, the caveat, and the supporting downloads so the value is visible.
Clean export
Normalizes dates, SKUs, locations, quantities, and obvious formatting issues into a usable CSV.
Before / after proof
Keeps the source row identity so users can inspect what changed before trusting a download.
Readiness labels
Marks reporting and AI downloads ready, partial, or blocked from the file's actual checks.
Change history
Keeps the source references, checks, review items, and reasons something is still unavailable.
Workflow
The user sees the actual routine.
A reliable cleanup workflow exposes the file, the changes, the review list, and the downstream output choice.
Upload, clean, compare, download
Turn one recurring CSV or spreadsheet into a reviewed operational export and evidence bundle.
Run a narrow check
Detect duplicates, mixed dates, missing IDs, invalid emails, PII columns, or summary rows.
Package by purpose
Separate day-to-day operations, compliance-safe sharing, reporting, AI prep, and audit evidence.
Use cases
Start with recurring files, not broad platform language.
The first buyer needs to know exactly which file goes in and which defensible output comes back.
Operations
Weekly inventory export
Operational clean CSV with duplicate rows removed and supplier conflicts flagged.
Finance
Vendor master workbook
Reporting package with normalized IDs, caveats, and row-level issue log.
AI teams
Customer or ticket extract
AI package only when direct PII and semantic blockers are resolved.
Audit
Recurring operational spreadsheet
Audit bundle with source mapping, transformation log, and unavailable reasons.
Pricing preview
Use Rowva through launch access. Prices are coming soon.
Use launch access to test which recurring SME workflows Rowva can package, support, and improve first.
Launch Access
Free during beta
no card required
For beta users testing Rowva's full core workspace while production pricing is finalized.
Free Scan
Included
during launch access
For checking file pain before a workspace or guided setup.
Starter
Coming soon
planned
For one painful recurring file that needs the same clean output every week or month.
Growth
Coming soon
planned
For bookkeepers, ops teams, and consultants preparing several operational files.
Managed Workflow
Coming soon
planned
For SMEs that want Rowva to tune mappings, monitor exceptions, and improve the workflow monthly.
Migration Sprint
Coming soon
planned
For one-time customer, vendor, product, or invoice prep before ERP/accounting onboarding.
Trust
Make upload risk explicit before asking for a file.
The trust surface needs to be as visible as pricing because business files often include private, regulated, or operationally sensitive data.
Uploaded files are processed for your workspace outputs, not for training public AI models.
Direct PII can block AI-ready packages while operational exports remain usable with review.
Retention, deletion, subprocessors, and review guidance are visible before guided setup or managed use.
Prove value on one messy file.
Inspect the public sample first, then create a workspace when you are ready to test your own recurring file.