Real-time scoring
Every transaction, scored before settlement.
GVLens combines behavioral signals, device intelligence, payment history, and provenance verification into a single risk score — returned in under 200ms, inline with your payment flow.
✓Account takeover — device changes, credential anomalies, session risk.
✓Payment fraud — stolen instruments, ACH returns, refund abuse.
✓Document & identity provenance — verify the authenticity of submitted bills, documents, and identities.
Built for billers
Native to the biller ecosystem, not bolted on
Biller integrations
Pre-built connectors for major billing platforms, payment processors, and bill-pay networks — go live in weeks, not quarters.
Case management
Alerts route to analyst queues with full context — evidence, history, and one-click actions. Every decision feeds the models back.
Explainable decisions
Reason codes on every score for disputes, audits, and regulators. No black boxes in the payment path.
Custom rules + ML
Layer your policy rules over adaptive models. Test in shadow mode before anything touches production traffic.
Portfolio monitoring
Fraud rates, false positives, and dollar exposure by biller, channel, and payment type — powered by the BillerLens semantic layer.
Privacy-first
PII tokenization, regional data residency, and consortium signals without sharing raw customer data.
99.2%
detection precision
<200ms
scoring latency
−63%
false positives vs rules-only
30+
biller & rail integrations
Run GVLens in shadow mode.
See what it would have caught on your last 90 days of traffic — zero production risk.