Synthetic Financial Data. One API.
VynFi is a Data-as-a-Service platform for synthetic financial data, powered by a high-performance Rust engine generating 100K+ rows per second. From journal entries and trial balances to labeled fraud scenarios — no real customer data required.
- 11 ERP process families across 4 subledgers, 42 countries, and 10+ industry sectors
- Fingerprint-calibrated output matching real-world statistical distributions
- Labeled anomalies aligned to ACFE fraud categories for ML training and audit analytics
- Multiple export formats — Parquet, JSON, CSV, Neo4j, PyTorch Geometric
| Audience |
Use Case |
| Fintech developers |
Generate test datasets for CI/CD pipelines and ML model training |
| Audit & compliance teams |
Build and validate analytics without exposing client data |
| Researchers & educators |
Access realistic financial data for curriculum and publications |
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| Engine |
Rust (16 crates, open-source via DataSynth) |
| API |
Rust + Axum |
| Portal |
Next.js + TypeScript + Tailwind CSS |
| Infrastructure |
Azure (AKS, PostgreSQL, Redis, Service Bus, Front Door) |
| IaC |
Terraform |
| Deployment |
GitHub Actions + Flux CD (GitOps) |
