WISE iTech Co (065370) Fair Value & Analysis
Technology · KR · Market cap 26.0B KRW
Fair value as of: Jun 24, 2026
Analysis
WISE iTech Co (065370) currently trades at 3,050 KRW, while our model-based Fair Value estimate is 3,590 KRW — implying the stock looks roughly 17.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
WISE iTech Co., Ltd. engages in the provision of artificial intelligence (AI), big data analysis, and data quality solutions primarily in South Korea. It offers WiseProphet, an automated machine learning platform; WiseIntelligence, a tool for analyzing and visualizing big data in multiple dimensions using AI technology; and WiseDQ, an automated data quality management tool. The company also provides WiseMeta that manages metadata information, such as data standards, data models, databases, and data flows; and MetaEngine, which enables companies or institutions to independently develop and operate metaverse services. In addition, it offers application impact analysis and source code analysis tools; and develops an AI-based trade document OCR automation solution. The company serves manufacturing, media, education, finance, public service, medical care, welfare, culture and content, and environment fields. WISE iTech Co., Ltd. was formerly known as Wise Information Technology Co., Ltd.…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.