A Efficient Model for Startups Creation with Low Risk and Uncertainty, Study Cases in IADES¶

Pérez, P.Y.P., Pupo, I.P., Ramírez, P.E.P., Herrera, R.Y., Acuña, L.A., Ramírez, C.M.P. (2025). A Efficient Model for Startups Creation with Low Risk and Uncertainty, Study Cases in IADES. In: Piñero Pérez, P.Y., Pérez Pupo, I., Kacprzyk, J., Bello Pérez, R.E. (eds) Computational Intelligence Applied to Decision-Making in Uncertain Environments. Studies in Computational Intelligence, vol 1195. Springer, Cham. https://doi.org/10.1007/978-3-031-83643-5_5¶

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Abstract

Small and medium-sized enterprises (SMEs) and startups are an essential part of the economy in many countries, having a significant economic and social impact. In this context, recent advances in Artificial Intelligence (AI) have fostered the creation of numerous companies supported by these technologies. However, the creation of such enterprises involves high risks, with 50% of initiatives failing. Multiple factors, coupled with a high degree of uncertainty in decision-making, contribute to this phenomenon. The methods section presents a model for building AI-supported startups. The proposed method facilitates the processes of implementation and governance during its application. This model can be generalized through the IADESPro platform. In the results analysis section, the authors validate the proposal using socio-economic indicators and word computing techniques. Furthermore, the results of applying the model in the IADES Commercial Society, a company dedicated to the development of new AI technologies for Sustainable Development, are presented. The IADES company adopted the proposed model and focused on applying AI in the fields of Sports, Sustainable Development, and Project Management. The application results are demonstrated.