Kibo, AI-Based Investment Valuation Model Development

AI Evaluation Reflecting Exit Possibility of Investment Companies

[Asia Economy Reporter Kim Cheol-hyun] The Korea Technology Finance Corporation (Chairman Kim Jong-ho, hereinafter referred to as Kibo) announced on the 7th that it has completed the development of a new investment evaluation model that combines the previously used investment evaluation model with an artificial intelligence (AI)-based investment signal model, and will apply it to evaluation tasks for future investments.

The AI-based investment evaluation model simultaneously considers the high growth potential of target companies and the possibility of exit (EXIT, investment success). It was developed to provide systematic information for investment decision-making and to improve difficulties in attracting investment for startups and venture companies.

Kibo explained that this model utilizes external data such as initial public offerings (IPO) and mergers and acquisitions (M&A) in investment data, and by training the model step-by-step through the transfer learning technique, it has excellent predictive performance and secured stability.

Based on the evaluation results, Kibo plans to recommend promising investment target companies to venture capital (VC) firms and establish a support system that connects guarantees to investments. Through this, it is expected to increase investment accessibility for technology-based startups and venture companies and contribute to future investment expansion.

Kibo has been continuously applying AI technology to evaluation models recently, such as developing and operating the Patent Evaluation System (KPAS), which evaluates the value of patents by training AI with the evaluation patterns of professional evaluators, and the New Technology Evaluation System (AIRATE), which combines expert and AI evaluations to create mutual synergy.

Kim Jong-ho, Chairman of Kibo, said, "I hope that Kibo’s newly reborn AI-based investment evaluation model will become an effective momentum for spreading investment to startups and venture companies that are in the blind spots of information."

This content was produced with the assistance of AI translation services.