Korea Technology Finance Corporation
AIRATE AI technology evaluation
KIBO applied AIRATE to technology evaluations and reported prediction-accuracy gains of at least 9%
Problem
KIBO used statistical models to assess technology businesses for financing. Financially weak startups could struggle to obtain further funding despite their growth potential.
Approach
KIBO applied its AI-based AIRATE system throughout technology evaluation work from January 2021. It produced separate growth and risk ratings that could support financing products. The evaluation framework combined expert assessment with explainable AI.
Results
Takeaway
Separate growth and risk ratings gave KIBO more ways to assess technology firms. The reported prediction improvement did not establish subsequent lending performance.
Categories
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
KIBO announced full application of AIRATE to technology evaluation from January 2021. It reported overall prediction-accuracy improvement of at least 9% against the previous model and described separate growth and risk ratings.
Full details are in the original sources.