Ability to detect anomalies and patterns helps in preventing identity theft, account takeovers, and other types of fraud.
Continuous monitoring ensures that any suspicious activity is flagged immediately.
Enhanced Customer Experience
Reduces the friction in the KYC process by minimizing manual intervention, making it faster and more user-friendly.
Regulatory Compliance
Ensures that financial institutions comply with global and local regulations, reducing the risk of fines and penalties.
Cost Efficiency
Automating the KYC process reduces the need for manual checks, lowering operational costs. The system can handle large volumes of verification requests simultaneously, improving scalability.
Global Accessibility
AI-driven KYC solutions can be deployed across multiple geographies, adapting to local regulatory requirements and languages.
Reduction of Human Error
AI reduces the likelihood of human error in data entry and verification, leading to more accurate and reliable KYC outcomes.
Trangile KYC PROCESS
Automated Input Data Classification
The AI-KYC is pre-trained model on various document types. It instant identified and quickly classifies documents as they are uploaded by the user.
Once the document is uploaded, classify the type of document instantly
Image and Text enhancement when original data quality is poor
AI-powered image processing improves the clarity of uploaded documents, enhancing text readability and reducing background noise for better data extraction and accuracy.
Our AI algorithm extract the user’s photo from the document and compare it with a selfie taken by the user. Using generative AI aging methods, the system accounts for age differences and other variations to ensure accurate verification.
Name similarity detection uses AI algorithm to recognize and match slight variations in names, such as typos or different formats. This ensures that minor discrepancies do not hinder the verification process, improving the accuracy and efficiency of KYC by reducing false negatives and ensuring legitimate customers are not mistakenly flagged.