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Ratings and Reviews 0 Ratings
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What is iLCLP?
Our innovative services for detecting and removing postal addresses are tailored to improve the accuracy of your address lists through a dependable and efficient approach. We have crafted an all-encompassing CLP infrastructure that integrates all essential features, guaranteeing a resilient system. The multilingual architecture provides secure access to and extraction of information from individual database tables and views. With over ten years of industry experience, IdentLogic Systems leads the market by offering trustworthy enterprise solutions that are implemented rapidly. By creating distinct customer identities, we enable a unified customer view, which is vital for effective Master Data Management. Before entering the data warehousing phase, it's essential to consolidate data, which can significantly lower expenses by eliminating duplicates ahead of any processing. This consolidation process also refines marketing strategies by reducing noise through the combination of diverse lists sourced both internally and externally. Furthermore, our fraud detection systems proactively prevent the reprocessing of duplicate claims, while our criminal detection mechanisms ensure that individuals remain off restricted lists, thereby bolstering overall data integrity. With these robust capabilities, businesses can achieve a more efficient and organized data management framework, ultimately leading to improved operational outcomes.
What is Endorsed?
Endorsed is a cutting-edge recruitment security platform that utilizes artificial intelligence to proactively identify and reduce candidate fraud from the very beginning of the hiring process by concentrating on the consistency of identity rather than just its verification. The platform integrates smoothly with applicant tracking systems (ATS) and evaluates each candidate through a comprehensive analysis of numerous identity signals, delivering real-time assessments to detect fraudulent individuals, impersonated applicants, proxy interviewers, and other intricate threats before they reach the interview stage. Unlike traditional identity verification methods that merely confirm existence, Endorsed guarantees that the person behind the resume remains consistent and engaged throughout the entire hiring process, addressing modern fraud tactics that can bypass standard verification measures. Its AI model, tailored specifically for this challenge and supported by extensive datasets from millions of applicants, demonstrates exceptional accuracy in detection by correlating behavioral, technical, and identity-related indicators to uncover inconsistencies. By employing such a thorough approach, Endorsed not only bolsters the security of the recruitment process but also cultivates a more reliable hiring environment, ultimately benefiting both employers and candidates alike. This innovative strategy positions Endorsed as a leader in the fight against recruitment fraud, ensuring that organizations can trust the integrity of their hiring practices.
Integrations Supported
Ashby
Cornerstone AI
Greenhouse
Indeed
JazzHR
Jobvite
Lever
Oracle Taleo
Paycor
SAP SuccessFactors
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$159 per month
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
On-Site Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
IdentLogic Systems
Date Founded
2003
Company Location
India
Company Website
www.identlogic.com
Company Facts
Organization Name
Endorsed
Date Founded
2023
Company Location
United States
Company Website
endorsed.com
Categories and Features
Customer Loyalty
CRM
Corporate Memberships
Customer Activity Tracking
Gift Card System
Loyalty Card System
Member Portal
Membership Management
Referral Tracking
Categories and Features
Candidate Fraud Detection
Not specified