@article{pawowska2025concept,
  title = {Concept of an Agent-Based, Distributed Web Application Utilizing AI for forecasting Startup Profitability},
  author = {Natalia PAWŁOWSKA and Ewa RATAJCZAK-ROPEL},
  year = 2025,
  url = {https://ibimapublishing.com/p-articles/46AI/2025/4643125/},
  journal = {Communications of International Proceedings},
  volume = 2025 (34),
  doi = doi.org/10.5171/2025.4643125,
  abstract = {This paper presents the concept of an agent-based, distributed web application utilizing artificial intelligence (AI) for forecasting startup profitability. The proposed system integrates key success factors (KSFs) to evaluate financial and operational performance across different stages of a startup’s life cycle. The application employs autonomous agents that collect, process, and analyze multidimensional data to generate profitability forecasts and recommendations. The multi-agent architecture ensures scalability, adaptability, and resilience through asynchronous communication and self-organizing behaviours. Seven types of agents are defined performing specialized tasks to enable collaborative learning and dynamic decision-making. The system design allows further extensibility by adding new agents. This concept provides a foundation for the development of intelligent decision-support tools that assist entrepreneurs and investors in making data-driven strategic choices throughout a startup’s lifecycle.},
  keywords = {Multi agent system (MAS), AI agent, startup profitability, data analysis.},
  note = Article ID: 4643125
}