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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Scalarr offers a cutting-edge solution for mobile ad fraud detection through advanced Machine Learning technology. To combat the most significant threats in mobile advertising, Scalarr employs a dual-layered approach with next-generation algorithms that achieve an impressive accuracy rate of up to 97% in identifying various forms of in-app fraud. Users can experience the benefits of Scalarr by exploring its capabilities to overview, analyze, and thwart mobile app install ad fraud using its unsupervised machine learning features before any harm occurs. The platform utilizes both unsupervised and semi-supervised machine learning techniques to automatically spot and understand fraud patterns across vast datasets. By examining countless clicks, installs, and post-install event variables, Scalarr significantly minimizes both false positives and false negatives in its detection process. With a sophisticated model design prioritizing result accuracy and thoroughness, Scalarr stands out as a robust tool that provides actionable insights at the individual conversion level, ensuring advertisers can make informed decisions regarding their ad campaigns. This comprehensive approach ultimately enhances the overall integrity of mobile advertising strategies.

Description

Every bank and fintech requires AI fraud investigators to create a reality where fraud victims are a thing of the past, and Trident is leading the charge by providing limitless investigators to these institutions. By deploying AI agents designed specifically to combat card fraud and APP scams, our solution integrates effortlessly with your in-app dispute forms, messaging systems, and alerting mechanisms. This innovation drastically reduces fraud resolution times from several days to mere minutes, ultimately enhancing customer satisfaction. Moreover, our AI agents bolster your fraud management capabilities, ensuring that every case is addressed regardless of the volume of incidents reported. With a streamlined process for handling false positives, our detection models can identify a greater number of transactions, ensuring that real fraud is captured effectively. Additionally, our assistant can be easily incorporated with platforms like Intercom, Zendesk, or any existing case management system you may currently utilize, providing a comprehensive tool for fraud detection and resolution. By harnessing the power of AI, we can transform the landscape of fraud investigation and support banks in safeguarding their customers more efficiently than ever before.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adjust
AppsFlyer
Branch
Intercom
Kochava
Singular
Tenjin
Zendesk
mParticle

Integrations

Adjust
AppsFlyer
Branch
Intercom
Kochava
Singular
Tenjin
Zendesk
mParticle

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Scalarr

Founded

2016

Country

United States

Website

scalarr.io

Vendor Details

Company Name

Trident AI

Website

tridentai.co

Product Features

Click Fraud

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Product 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

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