Key Insights: Implemented computer vision and NLP systems for identity validation and payment collection, enabling lending decisions in under 24 hours.

About the Client

Paigo is a Latin American fintech in the consumer lending space, catering to the unbanked through a fully digital ecosystem of financial products. In just a few years, it has acquired over 100,000 clients and was recently acquired by Banco Itaú, one of the largest banks in the world.

The Challenge

Paigo’s core value proposition is a simple, fully digital lending experience. To deliver on this promise in the Argentinian market, they wanted to streamline both the loan application and payment collection processes.

The goal was to create a frictionless identity verification flow and enhance user engagement through proactive, automated communication.

Marvik’s Approach

Working alongside Paigo, we implemented:

• Digital identity validation using computer vision to compare photographs of users and their national ID documents, validated against trusted sources.
  
  
• Integration with social media and WhatsApp for a user-friendly verification experience.
  
  
• A contact management system powered by NLP to automate payment collection messaging and proactively engage users through digital channels.
  
  
• A dashboard to schedule messaging rules and visualize all relevant contact metrics.
  
  

The system was built with Python, PyTorch, Transformers, and visualization techniques.

The Results & Impact

• Enabled lending decisions in under 24 hours, compared to lengthy traditional approval processes.
  
  
• Reduced friction in the identity verification process, improving user experience and trust.
  
  
• Automated payment collection workflows for greater efficiency.
  
  

Why This Matters

By combining computer vision and NLP, Paigo can serve unbanked customers with the speed and convenience they expect, giving them a competitive edge in the fast-moving fintech sector.