Strip the secrets.
Keep the structure.
A Mac app that scrubs PII and sensitive values out of CSV and Excel files — locally, on your laptop. Your data never leaves your machine. You hand AI a clean copy that still behaves like the real thing, without handing over any of the real thing.
- Local-only
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- No uploads
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- Works offline
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- Preserves structure
Data sensitivity shouldn't block progress.
The most valuable problems to solve with AI are usually the ones with the most sensitive data — financials, customer records, proprietary operations. That data is also exactly what most AI tools ask you to upload.
CleanSchema removes that trade-off. You clean your data first. Then you send us a file that proves the point without exposing the specifics.
Built for the data you can't just send.
Financial Records
Revenue figures, account balances, transaction histories, payroll data — anonymized to realistic values before export.
Personal & Health Information
Names, addresses, SSNs, medical records — replaced with synthetic equivalents that preserve structure without exposing individuals.
Business Proprietary Data
Client lists, pricing models, internal metrics, competitive data — scrubbed of identifying details while maintaining the patterns your prototype needs to work.
Operational Records
Workflow data, process logs, performance metrics — anonymized at the field level so the shape of the data is intact, not the specifics.
Three steps. You stay in control.
CleanSchema runs on your machine. Your original data never moves.
Open your file in the Mac app
CleanSchema runs natively on macOS — nothing uploads, nothing pings a server. Drop in a CSV or Excel file and it stays on your laptop the whole time.
Choose what to anonymize
CleanSchema identifies sensitive fields — names, amounts, IDs, dates — and lets you choose how each one is handled. Replace with synthetic values. Generalize to ranges. Redact entirely. Your call.
Export the clean version
You download an anonymized file that preserves the structure, column names, data types, and statistical patterns your prototype needs — without any of the sensitive values. That's what you send us.
The structure. Not the secrets.
An anonymized file still tells us everything we need to build something real.
Schema & Structure
Column names, data types, relationships between fields — the blueprint of your data is fully preserved. We can build around the structure even if every value is synthetic.
Statistical Patterns
Distributions, ranges, proportions, outliers — CleanSchema generates synthetic values that match the real statistical shape of your data. The prototype behaves like it's running on production data.
Business Logic
Relationships between rows, category breakdowns, time series patterns — preserved. The anonymized file shows how your data behaves, not just what it contains.