Blog
News, tutorials, and deep dives on synthetic financial data
Synthetic Audit Data for PCAOB and SOC 2 Testing
Auditors need realistic test data to validate tools and train teams, but real client data is off limits. Here is how synthetic data solves the compliance testing problem.
How to Generate SAP-Compatible Test Data with VynFi
SAP implementations need realistic test data but getting it is painful. VynFi generates journal entries, trial balances, and subledgers in SAP-importable formats.
Building Financial AI Models? Here's Your Training Data Pipeline
Synthetic financial data beats anonymized real data for ML training. Benford compliance, balanced entries, ground-truth labels, and unlimited scale via API.
Introducing VynFi: Synthetic Financial Data for Everyone
Today we are launching VynFi, a cloud-native API that generates realistic synthetic financial data at 100K+ rows per second. Here is why we built it and what you can do with it.
Why Synthetic Financial Data Matters for Audit Training
Audit teams train on flat, unrealistic data. Synthetic financial data changes that by providing configurable complexity, labeled anomalies, and unlimited scale.
Getting Started with VynFi in 5 Minutes
A quick walkthrough: sign up, create an API key, generate your first dataset, and inspect the results. All in under 5 minutes.
The Ground Truth Problem in Enterprise Audit Analytics
Why you cannot use production data to build audit knowledge systems. The inverse problem is computationally infeasible, systematic errors propagate undetected, and internal consistency does not imply correctness.
How VynFi Generates Statistically Rigorous Financial Data
Inside the three-layer knowledge model, Benford compliance, copula-based dependencies, and calibration against 155 real-world datasets that power VynFi's generation engine.
130+ Fraud Scenarios: Building Better Fraud Detection Models
How VynFi generates labeled fraud training data with 130+ anomaly subtypes, multi-stage fraud schemes, and ground-truth labels across all five knowledge dimensions.
Privacy-Preserving Data Sharing with Differential Privacy Fingerprints
How VynFi enables cross-firm analytics without data exposure using epsilon-differential privacy fingerprints that separate the privacy boundary from data generation.