Selvas AI Inc (108860) Fair Value & Analysis
Technology · KR · Market cap 229B KRW
Fair value as of: Jun 24, 2026
Analysis
Selvas AI Inc (108860) currently trades at 7,690 KRW, while our model-based Fair Value estimate is 4,233 KRW — implying the stock looks roughly 45.0% overvalued today. We read business quality at 80/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Selvas AI Inc. operates as an artificial intelligence (AI) company in South Korea. The company offers Selvy Note, an AI Voice Record for recognizing the content of conversations such as research, consultation, and meetings; Selvy MediVoice, an AI medical voice recognition that generates medical records during the medical process through voice; Selvy SpeechEdu, an AI training voice recognition for text utilization learning, sentence pronunciation accuracy learning, and sophisticated pronunciation at the phoneme/phonetic level. It also provides odiro, an AI voice content creation solution; Selvy Alrimi, an AI announcement solution to enter the broadcast content as text and the announcement voice can be automatically transmitted at the desired time; Selvy Checkup, an AI disease occurrence probability prediction solution; OnFit, an IoT-based smart fitness/fitness membership management program; Selpub, a cloud-based multimedia eBook; and DIODICT, a mobile electronic dictionary. The compa…
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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.