Create privacy-safe training data.
Generate synthetic datasets that preserve statistical properties while eliminating PII. Tabular, text, image, and time-series data.
Table/Text/Img
Types
Diff. privacy
Privacy
99% fidelity
Quality
Billions
Scale
Data, synthesized.
Privacy-safe synthetic data. 99% fidelity.
Multi-modal
Generate tabular, text, image, and time-series data.
Differential privacy
Mathematically proven privacy with ε-δ guarantees.
99% fidelity
Statistical properties preserved with 99% fidelity.
Augmentation
Augment imbalanced datasets with realistic samples.
Schema-aware
Respect data schemas, constraints, and relationships.
Compliance
GDPR and CCPA compliant synthetic data.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur ai synth train patient-data \
--source=s3://data/patients.csv \
--privacy=epsilon-1.0Synthetic data patterns.
Healthcare data sharing and testing.
Suggested configuration
Diff. privacy · HIPAA · 99% fidelity
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
Synthetic Data
Usage Volume
Infrastructure
Options
Cost details
PII-free synthetic data. Statistical properties preserved.
Works seamlessly with
Frequently asked questions
Data, synthesized.
Privacy-safe synthetic data. 99% fidelity.