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What is Pipl?

Pipl stands out as the premier source for online identity information globally. Its offerings, including Pipl SEARCH, Pipl API, and Pipl API, are designed to minimize customer friction while accelerating the resolution of cases. Additionally, these tools play a crucial role in mitigating the risks associated with fraud. Catering primarily to professionals in fraud prevention and investigations within sectors such as finance, law, and government, Pipl has established itself with unparalleled global reach. With a database that cross-references over 3 billion identities against more than 25 billion individual records, it boasts one of the most extensive online identity indexes available today. This extensive coverage empowers professionals to make informed decisions quickly and effectively.

What is Resistant AI?

Resistant AI's document fraud detection software and transaction monitoring software effectively address sophisticated fraud and financial crimes while maintaining your current technological setup. Bolster your existing risk management strategies throughout the onboarding process and ongoing monitoring, protecting against manipulative tactics and security breaches while enhancing the productivity of your risk and compliance teams through actionable insights. Our AI-driven document fraud detection software targets threats right from their inception, enabling you to not only recognize reliable entities but also to confidently authenticate documents at scale. We efficiently combat various deceptive practices, including identity document forgery, bogus bank statements, and modified invoices. With a thorough document analysis framework that leverages multiple established models and can swiftly integrate new ones, any uncertainties regarding content or metadata will be promptly flagged for your review, granting your organization the ability to remain vigilant against emerging threats. This proactive methodology guarantees that your defenses are not only solid but also flexible in the face of an ever-changing financial crime landscape, allowing for timely adjustments and updates to your protective measures. Embracing this approach fosters a culture of continuous improvement within your risk management processes.

Media

Media

Integrations Supported

Employa
Incentit
Polarity
SourceWhale
SpiceCRM
Unified.to

Integrations Supported

Employa
Incentit
Polarity
SourceWhale
SpiceCRM
Unified.to

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Pipl

Date Founded

2006

Company Location

United States

Company Website

pipl.com

Company Facts

Organization Name

Resistant AI

Date Founded

2019

Company Location

Czechia

Company Website

resistant.ai

Categories and Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

KYC

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