Solutions
Built for regulated industries.
Wherever compliance decides what data teams can touch, SynthVault removes the bottleneck — with synthetic datasets engineered for your industry's schemas, regulations, and risk models.
Customer data, unlocked without exposure.
The Problem
- ✕Customer data locked behind compliance walls
- ✕Vendor onboarding blocked for weeks by legal review
- ✕Model testing limited to stale or masked datasets
Compliance Alignment
The SynthVault Solution
- ✓Synthetic transaction histories with preserved spending patterns and seasonality
- ✓Synthetic credit portfolios that mirror default correlations and risk segmentation
- ✓Synthetic fraud patterns — including rare attack vectors — for detection training
Use Cases
Model Development
Train credit, churn, and fraud models on full-fidelity data without access requests.
Stress Testing
Generate extreme-but-plausible scenarios at scale for capital and liquidity models.
Vendor Evaluation
Hand fintech vendors realistic data on day one — no legal review cycle required.
Sandbox Environments
Populate dev and staging with production-shaped data, refreshed on demand.
Research-grade data without PHI.
The Problem
- ✕HIPAA blocks data sharing with research partners and vendors
- ✕Collaborations stall in IRB and legal review for months
- ✕ML training constrained to small, siloed datasets
Compliance Alignment
The SynthVault Solution
- ✓Synthetic patient records preserving comorbidity structures and care pathways
- ✓Synthetic clinical trial data for protocol simulation and site feasibility analysis
- ✓Synthetic imaging metadata for algorithm development without image PHI
Use Cases
Algorithm Development
Build diagnostic and risk models on statistically faithful synthetic cohorts.
Research Partnerships
Share datasets with academic partners immediately — no PHI, no IRB delays.
Training Augmentation
Balance rare disease classes and underrepresented populations in training sets.
Public Health Modeling
Simulate population-level scenarios without exposing individual records.
Claims data your vendors can actually use.
The Problem
- ✕Claims data too sensitive for analytics vendors
- ✕Pricing models trained on stale or sampled data
- ✕Regulatory reporting slowed by data access constraints
Compliance Alignment
The SynthVault Solution
- ✓Synthetic claims histories with preserved severity distributions and loss correlations
- ✓Synthetic policy records spanning full book-of-business diversity
- ✓Synthetic risk profiles for pricing model development and validation
Use Cases
Actuarial Modeling
Develop and backtest pricing models on full-fidelity synthetic portfolios.
Fraud Detection Training
Train fraud models with synthetic fraud rings and rare collusion patterns.
Vendor Benchmarking
Evaluate analytics vendors on identical synthetic benchmarks — no real claims exposed.
Regulatory Sandboxing
Run DOI sandbox programs with provably privacy-safe datasets.
Open data mandates, met safely.
The Problem
- ✕Citizen data protection requirements limit every release
- ✕Inter-agency sharing restricted by overlapping jurisdictions
- ✕Open data mandates without a safe publishing mechanism
The SynthVault Solution
- ✓Synthetic census records preserving demographic and household structures
- ✓Synthetic administrative data — tax, benefits, licensing — with DP guarantees
- ✓Synthetic geospatial datasets with realistic mobility patterns
Use Cases
Policy Simulation
Model policy impacts on synthetic populations before real-world rollout.
Open Data Publishing
Publish statistically useful datasets with zero disclosure risk.
Academic Research
Give researchers access-grade data without access-grade risk.
Cross-Agency Collaboration
Share synthetic counterparts of restricted datasets across jurisdictions.
Your industry. Your schema. Our engine.
Talk to a solutions engineer who understands your regulatory environment.