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Description
Our company provides AI-driven solutions for credit risk, identity verification, and customer acquisition specifically designed for the lending sector, aiming to support the 3 billion individuals who are underbanked. By utilizing our extensive suite of Big Data technologies, an AI-based alternative credit scoring system, and fraud assessment tools, we are reshaping financial offerings and reaching out to neglected market segments. We facilitate the digital onboarding of customers from any location at any time, while employing sophisticated facial recognition technology, AI-driven fraud detection, and ID validation to ensure secure transactions. Our goal is to engage millions of creditworthy yet underserved borrowers by creating a seamless digital lending environment that achieves disbursal rates ten times higher than traditional methods. Importantly, all information remains within the partner's data center, granting them complete authority over data management. We only process data that has been masked, anonymized, and aggregated, ensuring that personal information of individuals is never utilized. Furthermore, we adapt and implement systems that align with GDPR and other local regulations related to data security and privacy, thus maintaining the utmost integrity and compliance in our operations. This commitment to security and privacy underscores our dedication to fostering trust and transparency in financial services.
Description
Traditional check-clearing methods primarily assess the legal and courtesy limits of check amounts, often resulting in low-risk scores and the potential for false positives. In contrast, Tungsten FraudOne software enhances the detection of counterfeit checks through an innovative fraud scoring engine, which can be integrated with various verification tools to more effectively uncover sophisticated fraud schemes. By utilizing adaptable fraud detection strategies during both the capture and clearing stages, particularly as transaction methods like mobile deposits evolve, businesses can significantly streamline their processes. This solution minimizes the labor-intensive manual review of false positives by effectively differentiating between questionable and valid items. Moreover, it bolsters customer assurance by providing safeguards against signature forgery, check alterations, and fraudulent discrepancies. With improved accuracy, organizations can identify a greater number of suspicious checks in a shorter period, enabling them to scrutinize all checks, not just those of high value. Ultimately, this leads to a more efficient and trustworthy check verification process.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Trusting Social
Country
Singapore
Website
trustingsocial.com
Vendor Details
Company Name
Tungsten Automation
Founded
1985
Country
United States
Website
www.tungstenautomation.com/products/fraudone
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