The Data You Need. Zero Privacy Risk.
State insurance departments need realistic data for rate analysis, examiner training, and fraud detection—but can't risk exposing real policyholder records.
Veridian generates statistically valid synthetic data that passes regulatory scrutiny.
Built for Regulatory Requirements
Your compliance officer has budget, urgency, and authority. We speak their language with audit documentation, bias testing reports, and regulatory gap analysis.
SAM.gov Registered
Active registration in System for Award Management. Ready for federal contracting and procurement.
FedRAMP Ready
Architecture designed to meet FedRAMP Moderate baseline. Assessment-ready for ATO process.
SOC 2 Type II
Independent audit verification of security, availability, and confidentiality controls.
NAIC Model Bulletin
Directly addresses NAIC AI governance requirements for bias testing, model validation, and privacy-safe data generation.
GDPR/CCPA Ready
Synthetic data may fall outside GDPR scope when properly generated. Full privacy compliance documentation included.
State AI Requirements
Supports compliance with Colorado, Connecticut, and emerging state-level AI governance regulations.
Your Problem. Our Solution.
Every feature was designed by talking to state insurance departments about their actual data challenges.
You need to validate rate filings but can't access the underlying customer data
Generate synthetic policyholder populations that match your state's demographics. Test actuarial assumptions without ever seeing real customer records.
Stress testing requires exposure data that insurers won't share
Create synthetic catastrophe scenarios with realistic loss distributions. Model capital adequacy without proprietary company data.
New examiners need hands-on training but can't use real case files
Train staff on synthetic claims, policies, and filings that mirror real-world complexity. Build expertise without compliance risk.
Fraud detection models need training data you can't share
Generate synthetic fraud patterns that mirror real schemes. Train ML models and analysts without compromising active investigations.
Insurtechs want to test in your sandbox but you can't give them real data
Provide production-quality synthetic datasets for innovation pilots. Evaluate new technologies without consumer privacy risk.
Enterprise-Grade Synthetic Data
Technology purpose-built for the unique requirements of government regulators and federal agencies.
AI-Powered Synthesis Engine
Large language models trained on insurance-specific data structures generate statistically accurate records that pass regulatory scrutiny.
Zero-Knowledge Architecture
No real data ever enters our system. Generate synthetic records that mirror your data patterns without any PII exposure risk.
Multi-Jurisdiction Support
Generate datasets reflecting state-specific regulatory requirements, filing formats, and market conditions across all 56 US jurisdictions.
Audit-Ready Output
Every synthetic record includes provenance metadata and generation parameters. Full lineage tracking for regulatory compliance and reproducibility.
We Speak Your Language
Whether you're a compliance officer facing NAIC deadlines or a data scientist fighting class imbalance, Veridian addresses your specific challenges.
Chief Data Officer
Budget holderData access bottlenecks
Faster data provisioning for analytics teams
Compliance Officer
Procurement triggerNAIC AI bulletin compliance
Audit documentation for bias testing
ML Team Lead
Technical validationImbalanced training data
More fraud examples for model training
Actuary
Domain credibilityModel testing data gaps
Privacy-safe scenarios for validation
CISO
Veto powerData exposure risk
Security certifications & compliance
The Problems You Face Every Day
State insurance departments desperately need realistic data for these mission-critical functions— but privacy regulations and data access limitations have made it nearly impossible. Until now.
Rate Filing Analysis
Validate insurer rate increase justifications without accessing real customer data. Test actuarial models against synthetic populations that mirror your state's demographics.
Solvency Stress Testing
Model worst-case catastrophe scenarios and test capital adequacy without exposing proprietary company financials or real exposure data.
Market Conduct Examinations
Train examiners on realistic market conduct scenarios with synthetic claims, complaints, and policy data that mirrors real-world patterns.
Regulatory Sandboxes
Allow insurtech companies to test innovations with production-quality synthetic data—no real consumer exposure during the evaluation period.
Public Reporting & Research
Publish market analysis, academic research, and policy recommendations using synthetic datasets that can't be traced back to real policyholders.
Examiner Training Programs
Onboard new staff with hands-on experience analyzing realistic claims patterns, policy structures, and regulatory filings—without compliance risk.
Fraud Investigation Training
Train fraud analysts and ML models on synthetic fraud patterns that mirror real schemes—without compromising active investigations or revealing detection methods.
Streamlined Acquisition for Government Agencies
We've designed our procurement process specifically for state and federal agencies. No lengthy enterprise sales cycles—just straightforward government contracting.
SAM.gov Registered
Active registration with verified business credentials. CAGE Code and DUNS available.
Small Business Set-Asides
Qualified for small business procurement preferences and set-aside contracts.
GSA Schedule Ready
Prepared for GSA Multiple Award Schedule (MAS) procurement pathways.
State Contract Vehicles
Experience with NASPO ValuePoint and state-specific cooperative purchasing.
Ready to Transform Your Regulatory Data Strategy?
Join state insurance commissioners and federal regulators using Veridian to generate compliant, privacy-safe synthetic data for mission-critical analysis.