Real data isn't always usable
Privacy rules, small samples, and rare events all limit what you can do with real records. Synthetic data—artificial but statistically realistic—helps fill the gap.
Where it helps
- Safe test data that mirrors production shapes.
- Balancing rare classes for better models.
- Sharing datasets without exposing individuals.
Use it with care
Synthetic data inherits the biases of its source and can miss edge cases. We validate that it matches reality where it counts—and never treat it as a free pass on governance.
