Solution · Test Data
Real-shape test data — without real customers.
Reproducing production bugs needs production-shape data — but you can't put real customers in dev. WorkLens generates synthetic datasets that preserve your schema, FK relationships, and edge-case distributions, all on your device. Switch to morph mode for deterministic per-entity replacement when joins matter.
Built for: Heads of Engineering / Platform / Data
The problem
- —Synthetic test data generators don't preserve the messy real distributions where bugs hide
- —Faker-style libraries break FK joins — you lose the relationships that make tests realistic
- —Anonymising prod data still leaves it as 'personal data' under GDPR and the Privacy Act
- —Engineering teams reach for production dumps when test data fails — and now compliance has a problem
How WorkLens solves it
- ✓Distribution-faithful synthetic data: numeric histograms, categorical frequencies, edge cases preserved
- ✓FK-aware multi-entity generation: parent / child / junction tables stay consistent across files
- ✓Morph mode (Advanced): same input always produces the same fake output — joins still work across systems
- ✓Determinism: same recipe + seed = identical output. CI-friendly, reproducible, diff-able.