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
1,000+
MCC codes consolidated to 50 categories
0
GDPR incidents — no real customer data used

One platform. Four AI modules for FSI tech providers.

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

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 eliminated by design.

Realistic data. Zero 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 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-Konsolidierung, ML-Scoring und Kampagnen-Trigger

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

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
Our generation engine produces datasets that mirror distributions, correlations and edge cases of the original — statistically faithful, never real.
3
Step 3
Integration
Delivered via REST API or batch export. Direct integration into CI/CD pipelines, test frameworks and QA environments. Custom formats available.

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 QA environments.

Integration Testing

API mocks and sandbox environments with realistic FSI data — accelerating partner onboarding and parallel dev streams.

Stress Testing

Automatically generate rare scenarios, fraud patterns and extreme distributions — stress-test before production without compliance exposure.

Regulatory Sandboxes

Test compliance logic against synthetic regulatory scenarios — MiFID II, BaFin, DORA — without using production data.


Module 02

SDLC Automation

AI-powered test automation, API simulation, code generation and compliance documentation for FSI software providers. Faster releases, fewer defects, less manual effort.

Interface Simulation

API mocks and sandbox environments with realistic FSI data structures. No production access needed. Accelerates onboarding of integration partners and parallel development streams.

Real FSI schemas No production access Partner onboarding

Test Automation & QA

AI-generated test cases from your existing codebase. Automatic regression on every release cycle. Reduces manual QA effort by up to 80%.

AI test generation Automatic regression Works with CI/CD

Code & Documentation

LLM-assisted development acceleration. Automatic generation of technical and regulatory documentation directly from code artefacts — MiFID II, GDPR, BaFin-aligned.

Regulatory doc generation MiFID II / BaFin Code-to-doc

Compliance Documentation

Automatically generate audit-ready documentation from code, deployments and data flows. Supports BaFin, MaRisk, DORA and GDPR compliance workflows.

Audit-ready DORA + MaRisk Automated artefacts
FSI Domain Knowledge

Pre-trained on FSI schemas & frameworks

Pre-trained on FSI schemas, MCC codes, regulatory frameworks — not a generic code AI adapted for banking.

GDPR by Design

All processing in EU. German hosting available.

Code and documentation never leave your environment. DSGVO-compliant by architecture, not by configuration.

Deployment in Weeks

First working output in days — not months

Pre-built integrations and playbooks. Fits into your existing CI/CD pipeline from day one.


Module 03

Knowledge Base & RAG

Your compliance knowledge — instantly searchable. Grounded on verified sources. Zero hallucination. GDPR-compliant and Germany-hosted.

The problem with generic AI in compliance

  • Generic LLMs hallucinate regulatory facts
  • Answers without source references are audit liabilities
  • US-hosted models violate GDPR for EU banks
  • No connection to proprietary internal documents

Acceleraid RAG — grounded on your documents

  • Every answer references the exact source document and paragraph
  • On-premise or EU-hosted — your data never leaves
  • MCP-compatible: connects to your existing document systems
  • Full audit trail of every query and response

Four steps from document to verified answer

RAG never invents facts. Every response is anchored to a real document passage that can be read, cited and audited.

1
Step 1
Ingest
Compliance docs, product manuals, regulations uploaded and indexed. Supports PDF, Word, HTML and structured databases.
2
Step 2
Retrieve
When a question is asked, the most relevant document passages are retrieved — not generated from model memory.
3
Step 3
Generate
The LLM composes a precise answer using only the retrieved passages. Source references included in every response.
4
Step 4
Audit
Every query, retrieved passage and generated answer is logged. Full audit trail for compliance review.
No answer is ever generated from memory.
If the relevant passage isn't in your indexed documents, the system says it doesn't know — rather than inventing a plausible-sounding but incorrect answer.
See a Demo →

Three ways FSI teams use Acceleraid RAG

Compliance Q&A

Advisors, compliance officers and customer service agents ask natural-language questions about regulations, product rules and internal policies — precise, sourced answers instantly.

Source-cited answers

Regulatory Research

Automatically surface relevant regulatory passages from BaFin, ESMA, EBA or ECB publications when analysing a new requirement or preparing an audit response.

BaFin · ESMA · EBA · ECB

Product Knowledge Base

Customer service teams and AI assistants access up-to-date product information, pricing, T&Cs and eligibility rules — always from the current, verified source.

Always current · Always sourced

Module 04

Data Quality & Anomaly Detection

Turn messy transaction data into marketing gold. Automatically clean, consolidate and enrich FSI transaction data — transforming raw MCC codes and inconsistent merchant names into usable marketing categories, ML scores and campaign triggers.

1,000+ MCC codes → 50 categories +30.3% Campaign Uplift (live pilot) Real-time & Batch ML-scored
Private Banking & Wealth Management AI — Acceleraid personalisation and CLM for private banks

Acceleraid AI Platform — personalised wealth management journeys, next best action and lifecycle orchestration for private banks

Five data quality capabilities

From raw MCC chaos to ML-scored, campaign-ready customer segments — automated, in production, at scale.

MCC Consolidation

1,000+ merchant category codes transformed into 50 usable marketing categories. All spelling variants (e.g. all Amazon variants) automatically unified into one canonical name.

Anomaly Detection

ML models detect unusual patterns in transaction volumes, merchant distributions and customer behaviour. Automatic flagging, scoring and optional campaign triggering.

ML Model Training

Churn score from transaction volume change. Revolving likelihood. Activity change score (absolute & relative). Campaign trigger when score reaches threshold.

Data Enrichment

New parameters automatically derived: travel patterns (exotic currencies, flight merchants), mobility segments (local vs. commuter), spending categories per segment.

Revenue Reporting

Specialised reports show directly how a campaign impacts customer revenue. Transaction-level attribution integrated into campaign success reports.

ACCELERAID Banking Use Case — 65.000 Baufinanzierungsberatungen automatisch generiert

Best-of-Breed AI — Not a Locked Ecosystem

No own foundation model — by design. Acceleraid selects the best model for each use case: on-premise for full data sovereignty, fine-tuned open-source FSI models, or OpenAI / Gemini / Anthropic via API.

On-Premise (GDPR)
Open Source + Fine-Tuning
RAG + MCP
OpenAI / Azure (EU)
Gemini / Anthropic

PII Filtering — always on

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.

Full audit trail

Every query, retrieved passage and generated answer is logged with timestamps. Exportable for BaFin, MaRisk and internal compliance review.


From transaction signal to campaign result — automatically.

+30.3%
Campaign uplift vs. control group

Transaction volume drops → ML score automatically triggers campaign → 175,000 customers contacted → +30.3% increase vs. control group. Zero manual intervention.

Volume drop detected
ML score triggers
175,000 customers
+30.3% uplift
66%
active without campaign
86%
active with campaign
175k
customers contacted automatically

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.

Book a Demo Talk to us