








Understand why a user, transaction, or screening hit needs attention.
Identify shared devices, IPs, emails, and other links across related users.
Turn plain-language prompts into rules, filters, and next steps.
Use real-time identity, device, behavioural, payment, and AML signals.
Get new fraud and AML controls running without a lengthy rollout.
Adjust rules, thresholds, and workflows as risks and local requirements evolve.
Maintain clearer case histories, evidence, and audit trails across workflows.
Read how email and phone intelligence helped reduce manual review before KYC.
Read case study →Discover how a leading Southeast Asian fintech uses social media intelligence to improve credit scoring accuracy for thin-file applicants.
Read case study →Learn how digital and device checks support faster, safer lending decisions.
Read case study →Explore how Payop helps merchants reduce fraud across 500+ payment methods.
Read case study →


