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FSI Technology

Build faster. Test smarter.
Comply easier.

AI capabilities for FSI software vendors, FinTechs and system integrators — synthetic test data, SDLC automation, compliance knowledge base and data quality. GDPR by design.

80%

Faster QA cycles with synthetic test data

+30.3%

Campaign uplift from data quality pilot

6–9 wks

to production — not months

0

GDPR incidents — no real customer data used

The Real Problems

Four things keeping your CTO awake at night.

Every FSI software vendor and FinTech faces them. Most accept them as the cost of doing business. They are not.

Problem 01

Real customer data in your test environment. Every single night.

Your QA engineers need realistic financial data to test. So someone — always — ends up with production data in the test database. One audit finding away from a GDPR incident report.

Problem 02

Compliance documentation that takes 3 weeks and a lawyer.

Every release needs MaRisk documentation, GDPR processing records, audit trails. Your developers write code on Monday and compliance docs on Friday. Neither job gets done properly.

Problem 03

Your best compliance expert just resigned. She took 8 years of knowledge with her.

Regulatory knowledge lives in people’s heads, email threads and outdated wikis. When the expert leaves, the knowledge leaves. The next BaFin audit finds gaps.

Problem 04

QA takes longer than development. Every sprint.

Manual test cycles, edge cases nobody thought of, regression testing done by hand. Your releases slip. Your clients are unhappy. Your team is frustrated.

Four Capabilities

One platform. Four AI modules for FSI tech providers.

Click any module to jump directly to the full detail section below.

01

Synthetic Test Data

02

SDLC Automation

03

Knowledge Base & RAG

04

Data Quality

Module 01

Synthetic Test Data

Generate statistically accurate synthetic financial datasets for QA, stress testing and CI/CD pipelines — without ever touching real customer data. GDPR risk in testing minimised.

What It Is

Realistic data. Without real customer data.

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 datasets that mirror statistical properties of real data: transaction patterns, account structures, card spending behaviour, portfolio distributions.

No real customer data ever enters test environments

Statistically faithful — preserves distributions, correlations and edge cases

Edge cases and stress scenarios generated on demand

CI/CD integration via REST API or batch export

Covers: transactions, cards, accounts, portfolios, KYC data

ACCELERAID Payment Card Accelerator — MCC consolidation, ML scoring and campaign triggers

Payment Acceleraitor — ML models trained on FSI transaction data, MCC consolidation & data enrichment

01

Synthetic Test Data

02

SDLC Automation

03

Knowledge Base & RAG

04

Data Quality

Module 01

Synthetic Test Data

Generate statistically accurate synthetic financial datasets for QA, stress testing and CI/CD pipelines — without ever touching real customer data. GDPR risk in testing minimised.

What It Is

Realistic data. Without real customer data.

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 datasets that mirror statistical properties of real data: transaction patterns, account structures, card spending behaviour, portfolio distributions.

No real customer data ever enters test environments

Statistically faithful — preserves distributions, correlations and edge cases

Edge cases and stress scenarios generated on demand

CI/CD integration via REST API or batch export

Covers: transactions, cards, accounts, portfolios, KYC data

ACCELERAID Payment Card Accelerator — MCC consolidation, ML scoring and campaign triggers

Payment Acceleraitor — ML models trained on FSI transaction data, MCC consolidation & data enrichment

01

Synthetic Test Data

02

SDLC Automation

03

Knowledge Base & RAG

04

Data Quality

Module 01

Synthetic Test Data

Generate statistically accurate synthetic financial datasets for QA, stress testing and CI/CD pipelines — without ever touching real customer data. GDPR risk in testing minimised.

What It Is

Realistic data. Without real customer data.

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 datasets that mirror statistical properties of real data: transaction patterns, account structures, card spending behaviour, portfolio distributions.

No real customer data ever enters test environments

Statistically faithful — preserves distributions, correlations and edge cases

Edge cases and stress scenarios generated on demand

CI/CD integration via REST API or batch export

Covers: transactions, cards, accounts, portfolios, KYC data

ACCELERAID Payment Card Accelerator — MCC consolidation, ML scoring and campaign triggers

Payment Acceleraitor — ML models trained on FSI transaction data, MCC consolidation & data enrichment

AI Infrastructure

Best-of-Breed AI — Not a Locked Ecosystem

No own foundation model — by design. OpenAI (via Azure, Germany region) and Google Gemini (Google Cloud, Frankfurt) are standard; on-premise, fine-tuned open-source models or Anthropic on request.

On-premise (on request)

Open source + fine-tuning (on request)

RAG + MCP

OpenAI / Azure (EU)

Google Gemini

PII filtering before the model call

Names, IBANs, account numbers and personal details are stripped before any content reaches the LLM. Customer data stays protected across all four modules.

MCP-compatible connectors

Connect directly to your existing document management systems, SharePoint, Confluence or proprietary repositories via the Model Context Protocol.

Audit-proof logging

Every query, retrieved passage and generated answer is logged with timestamps. Exportable for internal and external audits.

GDPR by Design

“GDPR-compliant by design” is not a marketing claim. It is an architectural decision.

The ACCELERAID platform was built from the ground up for regulated environments. PII filtering happens before any data reaches an AI model. Consent management is core infrastructure, not a checkbox. German hosting is the default, not an option.

If your GDPR officer wants to understand the architecture before signing off, we will walk through it with them personally.

SOC 2 Type I certified

Independent audit of security, availability and confidentiality controls.

Platform in an ISO 27001-certified data centre in Frankfurt

LLM hosting on Azure Germany or Google Cloud Frankfurt; platform in an ISO 27001-certified data centre in Frankfurt.

built for DORA-regulated institutions, aligned with MaRisk

Architecture aligned with MaRisk, BSI IT-Grundschutz and DORA.

Ready to build faster, test smarter and comply easier?

Tell us which module fits your challenge first — synthetic data, SDLC automation, knowledge base or data quality. We’ll show you exactly what’s possible.