Synthetic Data Infrastructure
Generate production-grade synthetic data without exposing a single real record.
SynthVault creates statistically faithful, privacy-safe datasets that preserve relationships, distributions, and edge cases — so regulated teams can build, test, and share without compliance risk.
Trusted by data teams in regulated industries
More than anonymization. This is data replication at the structural level.
Traditional masking and tokenization destroy the statistical relationships that make data useful. SynthVault uses generative AI and differential privacy to build entirely new datasets that mirror the statistical properties of your source — down to correlations, distributions, and rare edge cases — while containing zero real records.
- —Correlations destroyed by masking
- —Edge cases and rare classes lost
- —Re-identification risk remains
- —Models trained on it underperform
- +Full statistical fidelity preserved
- +Rare events reproduced faithfully
- +Zero real records — nothing to leak
- +Provable DP privacy guarantees
The full synthetic data stack in one platform.
Ingestion Engine
Connect to warehouses (Snowflake, BigQuery, Postgres), streaming pipelines (Kafka, Kinesis), or flat files. Schema detection and relationship mapping are automatic.
Synthesis Core
Choose from GANs, VAEs, or diffusion-based models. Auto-selects the optimal architecture based on data type and cardinality.
Validation Suite
Statistical fidelity reports, privacy leakage tests (membership inference, attribute disclosure), and drift detection against source distributions.
Distribution Layer
Export to Parquet, CSV, or direct warehouse push. Role-based access, audit trails, and API endpoints for CI/CD integration.
Connect. Synthesize. Validate. Deploy.
Connect
Point to your source database or upload schema. No data leaves your VPC.
Configure
Select tables, set privacy budget (epsilon), choose synthesis model.
Generate
AI builds the synthetic dataset. Full lineage and reproducibility logs.
Validate & Share
Run privacy and fidelity reports. Share with vendors, teams, or training pipelines.
Built for teams who ship models and protect data.
ML Engineers
Train and test models on synthetic data that preserves class imbalance and feature correlations. No more data access requests.
Data Engineers
Populate staging and dev environments with realistic data. Stop using production dumps.
Compliance Officers
Meet GDPR, HIPAA, and CCPA requirements for data minimization. Full audit trails and DP guarantees.
AI Product Teams
Share datasets with external vendors, annotation teams, and research partners without legal review cycles.
The moat is not one model. It is the fidelity and privacy engine around it.
Generative models are commodities. SynthVault's advantage is the system that measures, constrains, and proves what those models produce — across three tightly integrated layers.
Generation Layer
GANs, VAEs, diffusion models, and tabular transformers. Auto-architecture selection based on data profile.
Privacy Layer
Differential privacy (epsilon-delta), k-anonymity, l-diversity, and membership inference testing. Configurable privacy budget.
Governance Layer
Role-based access, data lineage, synthetic-to-source mapping, automated compliance reporting.
Field Reports
What teams say
We cut our vendor onboarding time from 6 weeks to 3 days. SynthVault gave us synthetic patient records that our ML team couldn't distinguish from real data.
Our compliance team finally stopped blocking every data science project. The differential privacy reports are bulletproof.
We use SynthVault to generate 10M synthetic insurance claims for stress testing. The distributions match our production data within 0.3%.
Pricing
Predictable pricing. No per-record surprises.
Developer
per month, billed monthly
For solo ML engineers and data scientists building proofs-of-concept.
- ✓1M synthetic rows / month
- ✓3 data sources
- ✓CTGAN + TVAE models
Team
per month, billed monthly
For data teams shipping models to production.
- ✓10M synthetic rows / month
- ✓Unlimited data sources
- ✓All models + diffusion
Enterprise
For organizations with on-premise requirements, custom models, and dedicated support.
- ✓Unlimited synthetic rows
- ✓Cloud + on-prem deployment
- ✓Dedicated support + SLA
Stop choosing between data utility and data privacy.
Your first synthetic dataset is free. Connect your warehouse and see the fidelity report in minutes.