FSI Technology · Synthetic Data
Test with realistic data.
Zero GDPR risk.
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 Card Accelerator — 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 against synthetic but realistic regulatory scenarios — MiFID II, BaFin, DORA — without using production data.
Live Result
From transaction signal to 65,000 booked appointments.
This is what happens when clean, ML-scored transaction data triggers a fully automated advisory journey — without manual campaign management.
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.
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.
