Digital Onboarding & Loan Origination

Scanning and verifying government-issued IDs (driver's license, passport, etc.).

Using Optical Character Recognition (OCR) to extract data from ID photos.

Using biometric authentication methods like fingerprint or facial recognition.

Verifying that the applicant is a real person (e.g., through liveness detection in facial recognition).

Checking the quality and authenticity of submitted photos.

These checks are crucial for regulatory compliance. They involve screening applicants against various databases to identify potential risks related to money laundering and financial crimes.

Checks applicant information against international watchlists and sanctions lists to ensure compliance with global regulations.

Allows financial institutions to add their own custom lists for screening applicants based on their specific risk criteria.

The user interface and application process are designed to be user-friendly and intuitive, maximizing the number of completed applications. This focuses on a smooth and efficient customer experience.

The application process can be tailored to individual customer needs and circumstances, making the experience more personalized and efficient.

Provides tools to monitor the progress of loan applications and track key metrics like completion rates and conversion rates. This data helps identify areas for improvement in the onboarding process.

This includes automating tasks like loan disbursement, payment processing, and recording transactions. This reduces manual effort and increases efficiency.

The system is hosted in the cloud, making it easy to deploy and access. "Plug-and-play" suggests that it integrates easily with existing systems.

The system is built in modules, allowing financial institutions to select and customize the features they need. This provides flexibility and avoids unnecessary complexity.

The system automatically sends payment reminders to borrowers via SMS and WhatsApp, improving payment adherence.

The system can identify potential defaulters early on and trigger appropriate actions, such as sending personalized messages or offering payment plans. This proactive approach helps minimize losses.