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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.

Use Cases

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
Platform

One platform, every capability

Each solution is powered by a unified set of platform capabilities that work together seamlessly.

Impact

The impact of a unified data platform

Financial institutions using a unified approach to data engineering see measurable gains across speed, quality, and cost.

0%

Reduction in pipeline development time

0x

Faster regulatory reporting

0%

Data quality SLA achievement

$0M+

Annual cost savings

Customers

Trusted by financial-services teams

Anonymized references from design-partner deployments. Named customer references available under NDA.

A top-10 European retail bank

BCBS 239 risk-data aggregation

Reference under NDA
Cupel's PRISM templates compressed our BCBS 239 implementation from a 9-month engagement to a 6-week deployment with full lineage out of the box.

Head of Risk Data Engineering

  • Cut BCBS 239 reporting cycle from 11 days to 2 days
  • Column-level lineage across 47 source systems
  • Audit prep time reduced ~70%

A Tier-1 North American insurance carrier

Solvency II quarterly reporting

Reference under NDA
We replaced three legacy ETL stacks with one Cupel pipeline. Solvency II QRT submission went from a week-long fire drill to a scheduled job.

VP, Regulatory Reporting

  • Replaced 3 ETL tools with 1 platform
  • Solvency II QRT cycle: 7 days -> 1 day
  • Zero data-residency incidents in 6 months

A US-based investment-management firm with $400B+ AUM

AUM performance attribution + client reporting

Reference under NDA
The visual+code dual editor finally let our quants and our data-platform team work in the same artifact. Saved us hiring two separate roles.

Head of Investment Data Platform

  • Quant + data-eng work unified in one tool
  • Daily client reports cut from 4 hrs to 25 min
  • AUM data refresh latency: 12 hrs -> 30 min

A European challenger bank serving 8M+ customers

Real-time AML transaction monitoring

Reference under NDA
Cupel's blockchain connectors plus the PRISM crypto-compliance template gave us OFAC + Travel Rule coverage on day one.

Director of Financial Crime Engineering

  • OFAC sanctions screening latency <500ms
  • FATF Travel Rule coverage out of the box
  • AML false-positive rate down ~32%

Anonymized to protect customer confidentiality during pre-reference phase. Named customer logos and case studies coming soon.

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.