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What is Simility?

Simility provides a cloud-based platform for detecting fraud that improves business efficiency, curbs fraudulent actions, and fosters customer trust. Utilizing real-time intelligence, flexible data integration, and sophisticated visual tools, this solution analyzes millions of transactions daily to pinpoint and flag suspicious activities effectively. Founded by professionals with expertise in fraud prevention from Google, Simility enables users to define their own criteria for fraudulent behavior, which helps uncover more subtle problems like harassment among users and breaches of guidelines. This holistic strategy not only protects organizations but also cultivates a secure atmosphere for everyone involved. Ultimately, Simility stands as a critical ally in the fight against fraud, reinforcing the integrity of business operations and enhancing user confidence.

What is Rippleshot?

Rippleshot is a company dedicated to fraud detection and prevention, leveraging cutting-edge artificial intelligence and machine learning methods to aid financial institutions in proactively identifying and managing card fraud. Their flagship product, Sonar, analyzes millions of card transactions daily, effectively identifying compromised merchants and at-risk cards, which enables swift and accurate responses to potential fraud incidents. In addition, Rippleshot offers an AI-driven tool that allows financial institutions to implement effective fraud prevention strategies without needing extensive IT resources. By adopting these state-of-the-art solutions, banks and credit unions can substantially reduce losses related to fraud, minimize unnecessary card replacements, and enhance the overall experience for their cardholders. Through innovative, cloud-based technology that harnesses machine learning and data analytics, Rippleshot is transforming how financial institutions approach fraud detection, making it quicker and more efficient to uncover fraudulent activities. Their ongoing dedication to utilizing advanced technology not only helps institutions stay ahead in the relentless fight against fraud but also strengthens the trust and security associated with financial transactions, ultimately benefiting consumers and financial entities alike. As the landscape of fraud continues to evolve, Rippleshot remains committed to refining its offerings, ensuring that financial institutions are well-equipped to tackle emerging challenges effectively.

Media

Media

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)

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

Simility

Date Founded

2014

Company Location

United States

Company Website

simility.com

Company Facts

Organization Name

Rippleshot

Date Founded

2013

Company Location

United States

Company Website

www.rippleshot.com

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

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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