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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Fintech companies can benefit from advanced services aimed at preventing digital fraud and assessing risks. Utilizing non-personal and behavioral data analysis, we offer device risk evaluations and online user protection. Our solutions not only aim to thwart fraudulent activities but also work towards minimizing threat levels while attracting new clients and fostering sustainable portfolio growth. With JuicyScore, businesses can detect various fraud types, recognize suspicious behaviors, and understand user intentions, allowing for effective segmentation of incoming data based on risk levels. This enhances the informational quality of decision-making processes and strengthens the security of personal accounts for clients, ultimately boosting online transaction conversions. JuicyID streamlines client authentication, safeguarding sensitive information while reducing the likelihood of fraudulent actions. We also specialize in identifying both technical and social fraud, categorizing risks effectively, and providing a comprehensive data vector that enhances existing scoring models, thereby elevating the precision of your decision-making systems. The integration of these services ensures a robust framework for risk management in the fintech sector.

Description

TrackLight is an innovative platform that utilizes artificial intelligence to effectively detect and prevent fraudulent activities, aiming to thwart costly decisions before they can occur. By harnessing a comprehensive database of over 3,000 distinct fraud schemes along with more than 1 billion open-source intelligence records, it integrates smoothly into existing workflows for enhanced efficacy. The platform also features an intelligent co-pilot named Ray, which offers concise executive summaries of findings and actionable recommendations, ensuring that decisions are both accurate and fair. Additionally, TrackLight boasts a range of tools designed for due diligence, fraud analytics, social network analysis, and case management, all of which work to protect businesses by recognizing patterns within extensive data sets and automating various processes. This platform not only streamlines business operations but also provides valuable insights that simplify the identification of potential fraud, making it an essential asset for enterprises looking to safeguard their interests. Ultimately, TrackLight empowers businesses to act proactively against fraud, significantly reducing the risk of financial loss.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CREDITONLINE
Moneyman
tabby

Integrations

CREDITONLINE
Moneyman
tabby

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

JuicyScore

Founded

2016

Country

Singapore

Website

juicyscore.ai/

Vendor Details

Company Name

TrackLight

Founded

2023

Country

United States

Website

tracklight.ai/

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

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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