QUASH.ai is a no-code GenAI credit risk decisioning platform designed to help financial institutions enhance their credit risk assessment processes. The platform brings together alternative data sources, machine learning models, and decision workflows, enabling lenders to make more informed and efficient credit decisions without the need for custom coding or data science teams.
QUASH.ai's main value lies in its ability to unify disparate alternative data—such as non-traditional financial data—with automated model building and workflow management. This allows banks and other financial service providers to improve lending acceptance rates, streamline operations, and better serve underbanked or emerging markets. By leveraging no-code tools and advanced AI, QUASH.ai aims to make sophisticated risk analytics accessible to organizations of various sizes.
How was QUASH.ai started?
QUASH.ai was co-founded by Yoel Gavlovski, who serves as CEO. The company was established to address the challenge of limited access to credit for many customers by helping financial institutions use alternative data and automation to expand lending opportunities. You can find more about their team and mission on their About page.
Who uses QUASH.ai?
The platform is primarily used by financial institutions and lenders seeking to improve their credit decisioning processes. Notable customers include organizations in the retail and banking sectors, such as Retailer and Banco, illustrating QUASH.ai’s applicability across different segments of the financial industry.
What makes QUASH.ai different?
QUASH.ai stands out by offering a no-code approach, which lowers barriers to adoption for institutions lacking large technical teams. Its integration of alternative data and machine learning workflows provides a flexible, scalable solution for modernizing credit risk assessment.
Where is QUASH.ai based?
QUASH.ai is headquartered in Miami, Florida, United States and operates with a team size of 11-50 employees.
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