SynthAuro
Realistic data, none of it real
SynthAuro learns the structure and distribution of a source dataset and generates synthetic records that behave like the original. Teams get realistic data for development, testing, and model training while the underlying personal records stay where they belong.
Distribution-preserving data generation
Synthetic records keep the shape, ranges, and correlations of the source data they learned from.
Tabular, text, and image support
Generates across data types, so one tool covers most of what your teams need for testing.
Privacy-safe by construction
No real records are carried through, so personal data stays in its system of record.
Configurable volume and edge-case bias
Dial up volume or over-sample rare cases to fill the gaps your real training data leaves behind.
Develop and test
without touching real records.
Fill the gaps
where real training data is scarce.
Share realistic datasets
across teams, safely.
Model training
QA and test data
Privacy compliance
Demo environments
See SynthAuro in action. Book a personalized demo and discover what it can do for your business.