What it is
STICKBUG produces labeled, fully synthetic mortgage documents at the volume model training and testing require, without exposing real borrower data to your pipeline or third-party vendors.
What you get
Volume: Generate large sets of realistic documents rather than scraping or anonymizing scarce production files.
Coverage: Synthetic data on-demand for the true edge case scenarios that are rarely found in legally restricted production data.
Structure: Output is mapped to MISMO and aligns to UMDP standards, so documents carry consistent, standards-aligned structure your models can learn from.
Safety: No real borrower PII enters your training pipeline or leaves your control.
When to use it
Training document classification and extraction models
Building test sets for model validation
Augmenting thin or imbalanced real-world datasets
Sharing realistic data with vendors without privacy exposure
Why it works
Real loan data is exactly what model teams need and exactly what they are least able to use freely. Synthetic, standards-aligned files close that gap.
