The ACCELERAID Platform
Customer Data Platform & Data Governance
Aggregate CRM, core banking, cards and digital data into a governed system of record — with consent, data quality and access controls built for regulated banking environments.
3.5bn
Transactions analysed
Real-time
Data ingestion
GDPR
By design — hosted in Frankfurt
8
System classes with connectors
Key Capabilities
Customer Data Platform (CDP) & Data Governance: What it delivers
Real-time data ingestion
Connect CRM, core banking, card transactions, current account data, web and app event streams and consent management systems. Integration for Avaloq, Mambu, Temenos, SAP and all major core banking vendors. Flexible APIs for custom sources.
Consent & governance
Built-in consent management with full event history, granular preferences and cross-channel enforcement. Role-based access controls, defined retention rules and audit-proof logging. Governance is part of the data model.
AI-ready profiles
360° customer profiles — one profile per customer, consistent across every downstream use case. Clean, governed, contextualised customer data is the prerequisite for any AI use case. Automated deduplication, enrichment and quality scoring.
Why it matters
A banking CDP is the foundation for everything else
Without a governed customer data foundation, predictions are unreliable, reporting is manual and AI creates compliance risk. ACCELERAID’s CDP gives every downstream module a single trustworthy source of truth.
AI-ready data
Clean, governed, contextualised customer data is the prerequisite for any AI use case. Without it, models produce unreliable outputs.
Reporting foundation
The same data layer that powers predictions and CLM also delivers reports and dashboards for management and business units.
Made in Germany / GDPR by design
Consent events are captured, stored and enforced across every channel and use case. GDPR compliance is a property of the data model, not a manual process.
Data Automation
Automated data flows. No manual ETL
ACCELERAID’s CDP automates the ingestion, transformation and enrichment of customer data — eliminating manual ETL processes. Real-time and batch ingestion, automated deduplication, quality scoring and consent enforcement run continuously without manual intervention.
Automated deduplication & enrichment
Quality scoring on every data point
Consent enforcement in real time
No manual ETL required
Connect source data
CRM · Core banking · Transactions · App events
↓
Process automatically
Deduplication · Quality check · Consent
↓
AI-ready profiles
360° customer profile · Governance · Activation
Full Capability Set
Everything the CDP delivers
Customer Data & Transactions
Unify CRM, core banking and transaction data (card, account, trading) into a governed Customer 360. Resolve silos across products and channels.
Customer 360 Foundation
Create an activation- and reporting-ready Customer 360. One profile per customer, consistent across every downstream use case.
Consent Management
Built-in consent management with full event history, granular preferences and cross-channel enforcement.
Data Governance
Role-based access controls, defined retention rules and audit-proof logging. Governance is part of the data model, not bolted on.
Data Quality & Governance
Improve quality and make it visible: data-quality scores and warnings per source, deduplication, enrichment and validation.
Pre-built Banking Connectors
Integration for Avaloq, Mambu, Temenos, SAP and all major core banking vendors. Flexible APIs for custom sources.
Platform Architecture
Six modules. One platform. One data layer.
Each module works standalone or as part of the full suite. All share the same data model, governance framework and audit-proof logging — with the CDP as the governed system of record for all downstream AI.
Blog
Related insights
AI & Banking
Agentic Experience Platform for Banks: Why the Loop Matters, Not the Tool
Golden context, customer loop, check step: why in banks the time from signal to checked action matters, not the tool. Opening article of the series.
Read article →
Data & Technology
Customer Data Platform with a Context Layer: From Golden Record to Golden Context
Part 2/5: Three contexts, five functions, four kinds of memory. What turns a data field into a context object, and what the agent should not see.
Read article →
AI & Banking
AI and the Decision Engine: Predictions in the Middle of the Loop, Not at the End
Part 3/5: Predictions are inputs, not results. What a decision record contains, which four decision types exist, and what the language model should not do.
Read article →
+15%
Avg. conversion uplift
250+
Enterprise projects
3.5bn
Transactions analysed
6–9 mo
Avg. time to ROI
See how governed customer data and safe AI improve both growth and compliance
One session. Your use case. Real numbers.