FSI Technology · Synthetic Data
Test with realistic data.
Without real customer data.
ACCELERAID generates statistically accurate synthetic financial datasets for QA, stress testing and CI/CD pipelines — without exposing real customer data.
80%
Faster QA cycles in production
0
GDPR incidents with synthetic data
1.000+
MCC codes automatically consolidated
+30.3%
Campaign uplift (data quality pilot)
What It Is
Realistic data. No compliance risk.
FSI software providers need to test with realistic financial data — but using real customer data creates GDPR exposure, security risk and approval bottlenecks. ACCELERAID generates synthetic financial datasets that mirror the statistical properties of real data: transaction patterns, account structures, card spending behaviour, portfolio distributions. Statistically original-faithful. Instantly usable.
What’s included
No real customer data in test environments
Statistically accurate — preserves distributions, correlations, edge cases
Edge cases and stress tests generated on demand
Seamless CI/CD integration via REST API or batch
Covers: transactions, cards, accounts, portfolios, KYC data
ACCELERAID Payment Acceleraitor — ML models trained on FSI transaction data, MCC consolidation & data enrichment
How It Works
Three steps from schema to synthetic dataset
1
Step 1
Reference Structure
We analyse the schema and statistical properties of your real data — without storing or transmitting the raw data itself.
2
Step 2
AI Generation Engine
ACCELERAID’s generation engine produces synthetic datasets that mirror distributions, correlations and edge cases of the original — statistically faithful, never real.
3
Step 3
Integration
Deliver via REST API or batch export. Direct integration into CI/CD pipelines, test frameworks and QA environments. Custom formats available.
Use Cases
Where synthetic data solves real problems
QA & Regression Testing
AI-generated test cases, automatic regression on every release cycle — without risking real customer data in your QA environments.
Integration Testing
API mocks and sandbox environments with realistic FSI data structures — accelerating onboarding of integration partners and parallel development streams.
Stress Testing & Edge Cases
Automatically generate rare scenarios, fraud patterns and extreme distributions — stress-test your system before production without compliance exposure.
Regulatory Sandboxes
Test compliance logic in test environments for MiFID II, BaFin and DORA-relevant systems with synthetic yet realistic scenarios — without production data.
Why ACCELERAID
Built for FSI — not adapted from generic tools
FSI-Native
Banking-native data structures
Datasets model banking-specific structures — IBANs, MCC codes, card transactions, portfolio hierarchies — not generic tabular data adapted for financial services.
GDPR by Design
No real data ever leaves your environment
Schema analysis only. We analyse the statistical structure of your data — not the data itself. No raw customer records are transmitted, stored or accessed.
Best-of-Breed AI
Fine-tuned models, proprietary FSI logic
Uses fine-tuned open-source models and proprietary FSI generation logic. Not a black box — every generated dataset is explainable and auditable.
Blog
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See synthetic data in action for your use case.
We’ll show you how ACCELERAID can replace real customer data in your QA and testing pipelines — compliantly, immediately.