Make better fraud decisions

We help global enterprises assess the risk of fraud in online transactions. Our AI model, Elephant, is trained on more than 20 years of global payment and identity data, powering risk decisions at the #1 payment card network, ecommerce marketplace, and peer-to-peer payment platform.


See How it Works

Confident fraud decisions need more than just signals

Fraud decisions depend on data that's often incomplete, inconsistent, or spread across disconnected systems. When that information cant' be interpreted with enough context, decisions become harder to make with confidence, harder to explain, and harder to defend. Pipl solutions connect fragmented identity, behavior, and device signals into intelligence that teams can carry across systems, decisions, and reviews. 

Coverage

Our identity graph spans more than 5 billion identities and 740 billion signals, built over more than 20 years of making fragmented global data usable in high stakes decisions. 

Coherence

Our solutions connect fragmented identity, behavior, and device signals into intelligence that teams can interpret and act on in fraud decisions, so isolated data points don't create gaps that undermine confidence. 

Explainability

Pipl solutions retain their meaning of that intelligence across systems, teams, and contexts. Decisions don't break down during compliance reviews or regulatory scrutiny. 

 

Built for the fraud decisions that are the hardest to get right

Improve fraud decisioning in payment workflows

Pipl Trust solutions brings AI-native fraud decisioning into payment workflows with identity, behavioral, and device intelligence powered by Elephant, Pipl's large payment model, so payment teams can improve authorization performance without increasing fraud exposure.

Investigate identities with greater depth and precision

Pipl Search helps teams go beyond isolated records with connected identity intelligence from Pipl's global identity graph, so they can resolve who or what is behind fraudulent activity and reach more defensible conclusions faster. 

The most trusted source of online identities worldwide

5+ Billion

Trusted Identities

28+ Billion

Unique Identifiers

10+ Billion

Global Emails

3+ Billion

Global Mobile Numbers

9+ Billion

Social Media Usernames

740 Billion

Trust Signals

Measured results in complex fraud environments

A global marketplace improved authorization performance by 19.44 percentage points at the same fraud threshold, without loosening fraud controls or widening exposure.
A national enterprise retailer drove an estimated $52.3M in chargeback reduction after deploying fraud scoring calibrated to their actual fraud environment.
A global ecommerce brand cut unnecessary analyst workload by 27% when more accurate scoring resolved decisions earlier in the workflow.
A travel booking platform reached 0.87 ROC-AUC in one of the most signal-noisy booking environments, where generic models consistently underperform.
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