The present study aims to develop a FinTech model for platform-based companies using an Interpretive Structural Modeling approach. In terms of purpose, the research is applied. The statistical population of the study consisted of 15 managers from platform-based companies who were selected through purposive sampling. Data were collected through semi-structured interviews, and the data were analyzed using Interpretive Structural Modeling (ISM) and MICMAC software.The findings showed that five main components and twenty sub-dimensions were identified across three hierarchical levels. At the first level, the component “FinTech implementation and deployment” includes the dimensions of current situation analysis, scenario design and roadmap development, architecture and execution, and monitoring and learning. As the most dependent and influenceable component of the model, it is positioned at the top of the ISM graph.The second level of the model consists of three components: “Opportunities and benefits of FinTech for platform-based companies” (improving user experience, increasing customer acquisition and loyalty, reducing operational and transactional costs, and developing complementary services within the platform ecosystem); “Challenges and barriers” (technical, legal–regulatory, and economic barriers, as well as the shortage of skilled workforce); and “Infrastructure and foundational requirements” (information technology infrastructure, open and standardized APIs, cybersecurity and data management, and supportive laws and regulatory frameworks). These components are influenced by the third-level component and, in turn, affect the implementation and deployment of FinTech.At the lowest (third) level, the component “FinTech adoption factors” includes the dimensions of awareness and understanding of FinTech, perceived relative advantage and efficiency, ease of use, and compatibility with business operations and organizational culture. As the most influential and driving component, it acts as the key driver of the entire structure and influences all other components of the model.