Purpose-built for financial services
Six industry-proven use cases ready to deploy. From KYC/AML compliance to real-time fraud detection, Cupel accelerates every data initiative.
Financial services use cases
Pre-built templates and purpose-designed pipelines for the most demanding data challenges in banking, insurance, and capital markets.
KYC / AML Compliance
Automate Know-Your-Customer and Anti-Money Laundering pipelines with built-in sanctions matching, transaction monitoring, and regulatory reporting.
- Automated PII detection and classification
- Sanctions list matching with fuzzy logic
- Transaction pattern analysis and alerting
- Full audit trail for regulatory examiners
Customer 360
Build a unified customer master from disparate sources with identity resolution, deduplication, and master data management across all channels.
- Cross-source identity resolution and matching
- SCD Type 2 history tracking for all records
- Real-time deduplication with configurable rules
- Golden record creation with conflict resolution
Regulatory Reporting
Meet BCBS 239, MiFID II, and Solvency II requirements with pre-built report templates, lineage tracking, and automated data quality validation.
- BCBS 239 risk data aggregation compliance
- Column-level lineage from source to report
- Automated data quality validation at every layer
Risk Analytics
Aggregate, clean, and transform risk data across trading desks, credit portfolios, and market data feeds into analytics-ready Market-Ready layer datasets.
- Multi-source risk data aggregation pipelines
- Pre-built quality profiles for risk metrics
- Star schema output optimized for BI dashboards
- SLA monitoring to meet daily risk deadlines
Fraud Detection
Ingest high-volume transaction streams, detect anomalous patterns with quality gates, and quarantine suspicious records for investigation.
- High-volume streaming data ingestion
- Statistical distribution checks for anomalies
- Automatic quarantine of flagged transactions
- Real-time alerting to investigation teams
Data Quality Operations
Monitor, measure, and improve data quality across your entire organization with automated checks, scorecards, and incident management.
- 300+ built-in quality expectations via Great Expectations
- Organization-wide quality scorecards and trends
- Automated incident creation on quality failures
- Root cause analysis with lineage tracing
One platform, every capability
Each solution is powered by a unified set of platform capabilities that work together seamlessly.
The impact of a unified data platform
Financial institutions using a unified approach to data engineering see measurable gains across speed, quality, and cost.
Reduction in pipeline development time
Faster regulatory reporting
Data quality SLA achievement
Annual cost savings
See how Cupel solves your use case
Start with a pre-built template for your financial services use case and deploy production-ready pipelines in hours, not months.