FSI Technology for software vendors and FinTechs
Build faster. Test smarter.
Comply easier.
AI capabilities for FSI software vendors, FinTechs and system integrators: synthetic test data instead of real customer data, AI-assisted testing, a knowledge base for compliance content and data quality, GDPR-compliant by design.
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Synthetic test data instead of real customer data
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AI-assisted tests and compliance docs per release
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Hosted in Frankfurt, PII filter, SOC 2 Type I certified
Test data request
Example
Request
“50,000 card accounts with edge cases for release 4.2.”
Schema from reference data, no real data.
Result
Synthetic dataset ready, distributions checked.
Export via API into the CI/CD pipeline, logged.
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Illustrative concept
Your rules
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 logs. 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Regulatory knowledge lives in people’s heads, email threads and outdated wikis.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.
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 (Germany)
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 and BSI IT-Grundschutz, built for DORA-regulated institutions.
Read on
