Hypercharging PEP Data Assets

Deploying our machine learning PEP Data Asset platform to scale one of the most extensive PEP products in the world

What We Did

Within 2 years period we were able to take over, scale PEP operations and deliver over 5X coverage. In 2022 we will enable 25X – 30X PEP checks for one of the largest PEP data products in the world.

The Challenges
  • Within 2 years period we were able to take over, scale PEP operations and deliver over 5X coverage.
  • In 2022 we will enable 25X – 30X PEP checks for one of the largest PEP data products in the world.
Hypercharging PEP Data Assets
Coverage
  • Enhanced Cost Optimization
  • Listing Automation
  • 100% coverage
  • Advanced Dialects and Scripts
  • Retrospective Coverage
  • NER and NRE models
  • Error Prediction
  • Production Prediction
  • Black Swan Event Impact
  • Enhanced Monitoring
  • Additional Attributes
  • UBO / SOE / Other linkage

Deployed the PreScreening.io SaaS platform and proprietary risk relevant data assets:

  • ✓ Reduction in cost per PEP by 2X to 3X
  • ✓ Reduction in research time by over 90% in certain cases
  • ✓ Increase in PEP Checks, Updation and Additions (given in accompanying graph)
  • ✓ Ongoing enhancements in technologies & efficiencies
  • ✓ Built in best practices for research, QC and audits

Jurisdiction(s)

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Case Studies

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