GM Group Expands Digital Lending Infrastructure in Central Asia

GM Group Limited continues strengthening its digital credit infrastructure across Central Asia.
The company has upgraded its automated credit-scoring engine powered by machine-learning technology, enabling faster decision-making and improved customer experience.

The updated platform increases underwriting precision and supports higher portfolio scalability while maintaining strict risk controls.

GM Group reports continued strong expansion in its client base thanks to fully automated loan-origination processes and AI-driven approval systems.

High demand for transparent and accessible fintech services has led to strong new-customer growth across key markets, reinforcing the Group’s leading position in the digital micro-lending segment.

To ensure sustainable growth and portfolio quality, GM Group has enhanced its credit-risk models and internal risk-governance procedures.

The improvements include new behavioral scoring layers, expanded anti-fraud modules, and data-enrichment partnerships with regional credit bureaus – supporting better risk visibility and responsible lending standards.

GM Group Limited has successfully reached another milestone in capital markets with strong investor confidence in its listed debt instruments.

The Group continues to diversify funding sources and strengthen its positions on regulated exchanges, reaffirming its reputation as a transparent and reliable market participant.

As part of its long-term commitment to social responsibility, GM Group has contributed to charitable initiatives supporting children undergoing treatment for serious illnesses.

The program provides financial assistance and essential resources to families in need, reinforcing the Group’s mission to create value not only in business, but also in society.

GM Group Limited has launched a new employee development and leadership-training program across its regional offices.

The initiative focuses on strengthening professional skills in fintech operations, data science, and risk-management methodologies – supporting the company’s long-term talent strategy and commitment to fostering innovation.