KTO Digital, a South African software development company founded in 2017, provides comprehensive services including mobile and web application development, system integration and automation, UX/UI design, and software testing. In 2018, KTO launched its flagship product, J-Cred, a web-based solution designed to help businesses manage risks. J-Cred offers aggregated and intuitive AI-driven data from over 20 credible sources for forensic investigations, E-KYC (Know Your Customer) automated workflows, vetting, and fraud prevention. KTO is currently expanding J-Cred to over three African countries within the next 12 months and aims to reach more than 10 African countries within the next five years, creating opportunities to add significant value across the continent.
KTO Digital has a product called J-Cred, which is a screening, vetting and all resource data solution developed by KTO Digital to help organisations make informed decisions driven by digital access to data and aiding in business risk management. The solution is a data aggregation platform that is applicable to multiple business units such as Legal practitioners, procurement, associations, HR, finance, forensic auditing, governance and compliance
1. Inaccurate or Incomplete Identity Verification: Problem: Traditional identity verification methods often rely on incomplete or outdated information, leading to inaccuracies in identifying individuals. Solution: J-Cred uses AI-powered facial reconstruction and recognition technologies to verify identities even from partial images or videos. By matching reconstructed faces against a comprehensive database, J-Cred ensures accurate identity verification. 2. Data Fragmentation and Integration: Problem: Organisations often struggle with fragmented data across multiple systems and databases, making it difficult to obtain a unified view of individuals and their interactions. Solution: J-Cred aggregates data from various sources, including home affairs databases, to create a comprehensive profile of individuals. This unified view aids in accurate identity verification, risk assessment, and decision-making processes. 3. Difficulties in Handling Biometric Data: Problem: Collecting, processing, and verifying biometric data, such as facial images, can be challenging due to variability in data quality and environmental conditions. Solution: J-Cred utilises sophisticated AI techniques for facial reconstruction and recognition, ensuring accurate handling of biometric data even under suboptimal conditions. This enhances the reliability of biometric verification. 4. Manual and Time-Consuming Verification Processes: Problem: Traditional verification processes are often manual, time-consuming, and prone to human error, leading to inefficiencies and delays. Solution: J-Cred automates the verification process using AI and machine learning, significantly reducing the time and effort required for identity verification and fraud detection. This automation leads to faster and more reliable outcomes
