Postdata

Postdata was engaged by MD Finance, a global FinTech company, to develop a machine learning model for predicting loan defaults in the Romanian market. The goal was to enhance financial decision-making by accurately assessing potential risk for lenders. Postdata implemented key data preprocessing strategies to ensure the model's accuracy and robustness. They selected LightGBM for its efficiency with large datasets and gradient boosting capabilities, ideal for credit scoring. The project was successful in optimizing loan approval processes, reducing the likelihood of losses, and guiding more informed lending strategies.

Postdata partnered with an American custom software development company to leverage their AI expertise in Chatbots, Recommendation & Ranking Systems, Scoring, Predictive Analytics, Linear Optimization, Computer Vision, and Generative AI. The goal was to deliver projects faster and at a high quality. Postdata provided extensive support across multiple projects and presale activities. Their team was collaborative and highly engaged, contributing significantly to solving complex challenges and fine-tuning the final solution.

The Bueno Group, an AI-driven educational and care ecosystem, hired Postdata to strategize on product development, plan their infrastructure for scalability, and build their platform with efficient solutions. Postdata was instrumental in building their platform, demonstrating a mix of talent, professionalism, and creativity. They were able to understand The Bueno Group's vision and translate it into a robust, scalable, and user-friendly solution. The client commended Postdata for their deep technical expertise, genuine commitment to collaboration and excellence, and their role as true allies in innovation.