Sub-second fraud decisions across global payment rails using unified streaming data and AI
Problem Statement
Fraud detection and payment decisioning are fragmented across systems, limiting real-time visibility and increasing fraud losses. Batchbased analytics create latency, false positives spike, and decisions lack explainability for auditors and regulators.
What's holding you back
Siloed fraud signals across payment rails
Latency constraints preventing real-time scoring
Limited real-time feature engineering
High false positives impacting approvals
Heavy retraining cycles
What success looks like
Reduced fraud losses
Improved approval rate
Sub-500ms decision latency
Lower false positives
Audit-ready traceability
How evolv helps
Unifies transaction and risk data with streaming ingestion and centralized feature store
Delivers explainable scoring with human-in-loop workflows and global governance
Enables sub-second decisioning across corridors with continuous model refinement
Why evolv?
Real-time fraud and payments expertise at global scale
Proven reduction in fraud losses and false positives
Transparent decision models regulators trust
Experience building streaming risk intelligence platforms
Let's talk
Close the gap between fraud signal and decision before losses accumulate. Deploy explainable, audit-ready scoring that regulators trust and operations can act on.