Sep 12, 2025
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Modernizing lending processes with AI
Ongoing

Modernizing lending processes with AI

$25,000+
more 1 year
Israel
2-5
view project
Service categories
Service Lines
Artificial Intelligence
Big Data
IT Services
Domain focus
Banking & Financial Services
Other
Programming language
Python
Subcategories
Artificial Intelligence
Machine Learning
Big Data
Data Science
IT Services
Staff Augmentation

Challenge

A NASDAQ-listed fintech company, founded in Israel and operating in the U.S., is revolutionizing credit risk assessment for entrepreneurs and businesses. With rapid growth and a global footprint, the company faced a critical challenge:

  • Scaling their services to meet increasing demand.
  • Modernizing legacy systems to support innovation and performance.
  • Expanding technical capabilities while maintaining product quality and delivery speed.

Their goal was to enhance their core product, a real-time credit risk analysis platform, while building a scalable, future-ready infrastructure.

Solution

We partnered with the client to support their transformation across multiple dimensions, evolving from a team extension to a strategic technology partner.

Team expansion & integration

  • Initially joined the core product team, contributing to feature development and system improvements.
  • Later expanded into the data team, focusing on backend development and big data analytics.

Strategic ownership

  • Took full ownership of features and projects, from design to production.
  • Brought fresh perspectives and technical expertise, helping the client explore new fintech opportunities.

Real-time credit risk assessment

  • Supported the development of a system that delivers instant credit offers based on borrower profiles.
  • Built using Python and AWS, with tools like Coralogix for monitoring and Amazon SageMaker for ML-powered scoring.

System enhancements & integrations

  • Integrated external data services (e.g., car valuation APIs) to improve offer accuracy.
  • Leveraged AI/ML models (e.g., xgBoost) to enhance credit scoring.

Infrastructure & ecosystem improvements

  • Refactored legacy code and introduced new architectural blueprints.
  • Improved deployment, testing, and cross-team collaboration.

6. Team culture & retention

  • Focused on developer satisfaction and engagement.
  • Ensured seamless integration with the client’s R&D team to reduce turnover and foster long-term collaboration.

Results

Scalable growth
The client scaled their services efficiently, meeting growing demand without compromising quality.

Faster innovation
New features and integrations were delivered faster, enabling the client to stay ahead in a competitive market.

Enhanced product capabilities
The credit risk platform became more accurate, reliable, and responsive—empowering users with real-time, data-driven decisions.

Stronger collaboration
Our team became a trusted partner, contributing not just code, but strategic value and innovation.

Future-ready infrastructure
With modern architecture and robust tooling, the client is well-positioned for continued growth and product evolution.