Saltlux Inc (304100) Fair Value & Analysis
Technology · KR · Market cap 200B KRW
Fair value as of: Jun 24, 2026
Analysis
Saltlux Inc (304100) currently trades at 13,100 KRW, while our model-based Fair Value estimate is 16,799 KRW — implying the stock looks roughly 28.2% undervalued today. We read business quality at 91/100 (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: low) — always confirm before acting.
About the company
Saltlux Inc. operates as machine learning and natural language processing in South Korea. The company offers TALKBOT STUDIO, a real-time virtual consultation; VISION STUDIO provides object, face, gesture, vehicle, and character recognition services through integrated labeling tools and in-studio continuous dataset creation and model sophistication; INSIGHT STUDIO analyzes and summarizes the information users need from unstructured data collected in real time; LANGUAGE STUDIO, a customized language model platform essential for various AI services; and SEARCH STUDIO provides accurate information that identifies your intentions through an advanced language model. It also provides KNOWLEDGE STUDIO, a product that enables intelligent analysis from knowledge graph data generation to management; VOICE STUDIO provides voice recognition and synthesis service; SCRAPING STUDIO, a leverage distributed processing technology to enable real-time collection of vast amounts of data; and METAHUMAN ST…
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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.