Analytical Approaches to Assessing the Investment Potential of AI Startups in Ukraine’s Financial Sector

Authors

  • Kyrylo Kryschenko Candidate of Economic Sciences, Teacher of the Department of Accounting and Finance, Private Higher Educational Institution “Bukovinian University”, Chernivtsi, Ukraine https://orcid.org/0009-0007-7145-6709
  • Alina Proshchalykina PhD in Economics, Associate Professor of the Department of Economics and International Economic Relations, Cherkasy National University named after Bohdan Khmelnytskyi, Cherkasy, Ukraine https://orcid.org/0000-0002-9867-2555
  • Denys Zavhorodnii Master’s degree holder, Sumy National Agrarian University, Sumy, Ukraine https://orcid.org/0009-0006-0719-7047

DOI:

https://doi.org/10.5281/zenodo.14422141

Keywords:

financial analytics, venture capital, evaluation algorithms, economic attractiveness, technological innovations

Abstract

The article examines the challenges and prospects of enhancing the investment attractiveness of Ukrainian AI startups in the international market. The relevance of the study is determined by the rapid growth of global demand for innovative technologies and the need to attract international investments to develop the Ukrainian startup ecosystem. It has been established that the key barriers include insufficient integration into global technological ecosystems, limited access to specialized venture capital funds, unstable legal frameworks, and non-compliance with international financial reporting standards.

The purpose of the article is to develop scientifically based approaches to assessing the investment potential of startups with artificial intelligence in the financial sector of Ukraine, which will contribute to the optimization of investment decisions and stimulate the development of the innovation environment. A systematic approach was applied to analyze investment attractiveness, encompassing problem structuring, identifying interconnections between key factors, and conducting comprehensive research. Methods of theoretical generalization, qualitative analysis of information sources, and elements of modeling were employed to determine the development prospects of startups.

The results of the study include recommendations for improving the investment attractiveness of startups, such as enhancing their technological base, implementing international financial reporting standards, developing marketing and branding strategies, and actively participating in international acceleration programs. It has been proven that the implementation of these measures will facilitate investment attraction, expand access to new markets, and strengthen the positions of Ukrainian startups on the international level.

The conclusions emphasize the importance of an integrated approach combining financial, technological, and market aspects. The proposed approach enables venture investors to make more informed assessments of startups’ prospects, minimizing risks. It is noted that further research should focus on studying mechanisms for reducing venture risks and adapting startup business models to the conditions of instability typical of the Ukrainian market.

Published

2024-12-12

How to Cite

Kryschenko, K., Proshchalykina, A., & Zavhorodnii, D. (2024). Analytical Approaches to Assessing the Investment Potential of AI Startups in Ukraine’s Financial Sector. Current Issues of Economic Sciences, (6). https://doi.org/10.5281/zenodo.14422141