Use Cases
Certified synthetic data for every industry
Organizations use CertifiedData to generate AI training data that is synthetic, certified, and cryptographically verifiable — satisfying model governance, regulatory audit, and data sharing requirements without exposing real records.
Finance
Fraud detection, AML, credit risk
DORA · SR 11-7 · EU AI Act
Finance & Compliance
KYC/AML typologies, FinCEN, FATF
BSA · EU AMLD · FinCEN
Healthcare
EHR synthesis, clinical trials, diagnostics
HIPAA · HITECH · EU MDR
Healthcare & HIPAA
HIPAA Safe Harbor, PHI de-identification
HIPAA Safe Harbor · Expert Determination
Government AI
Public sector AI governance and auditability
EO on AI · NIST AI RMF · EU AI Act
Insurance
Actuarial models, claims, risk scoring
State insurance regs · NAIC model laws
Telecom
Network data, churn prediction, usage patterns
CPNI rules · GDPR
SaaS & Product
Behavioral data, product analytics, telemetry
GDPR · CCPA
E-commerce
Transaction data, recommendations, fraud
PCI DSS · GDPR · CCPA
Defense
Threat modeling, intelligence, mission AI
CMMC · NIST SP 800-53
Manufacturing
Sensor data, quality control, predictive maintenance
IEC 62443 · ISO 13849
Education
Student performance, learning analytics
FERPA · COPPA
Why certification changes the picture
Synthetic data without provenance is just data. With a cryptographic certificate, it becomes an artifact: timestamped, fingerprinted, and signed — so any auditor, regulator, or counterparty can verify the dataset was synthetically generated and has not been altered since.