Odysight.ai Inc (ODYS) Fair Value & Analysis
Technology · US · Market cap $67.8M
Fair value as of: Jun 24, 2026
Analysis
Odysight.ai Inc (ODYS) currently trades at $4.01, while our model-based Fair Value estimate is $6.82 — implying the stock looks roughly 70.1% 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: low) — always confirm before acting.
About the company
Odysight.ai Inc., together with its subsidiaries, develops, produces, and markets visual monitoring artificial intelligence (AI) solutions in Israel, the United States, and internationally. The company offers predictive maintenance (PdM), condition-based monitoring (CBM), and system health monitoring solutions. It also provides visual sensors, which are compact and rugged cameras installed in critical and hard-to-access zones; processing units, which are edge units that enable real-time fault detection from multiple visual inputs; FLVID OS, app, and algo toolkit, which is a field-ready interface for on-site diagnostics and maintenance; and a cloud PHM ecosystem, which is a cloud-based platform for connecting fleet-wide monitoring under the Odysight.ai brands. In addition, the company offers a precision AI-driven predictive health monitoring solution, which delivers real-time multi-sensor monitoring and prediction of faults. It serves the medical, aviation and aerospace, transportati…
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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.