Cloudastructure Inc (CSAI) Fair Value & Analysis
Technology · US · Market cap $8.3M
Fair value as of: Jun 25, 2026
Analysis
Cloudastructure Inc (CSAI) currently trades at $0.2903, while our model-based Fair Value estimate is $0.3400 — implying the stock looks roughly 17.1% 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
Cloudastructure Inc. engages in the provision of cloud-based artificial intelligence (AI) video surveillance and remote guarding service built on AI and machine learning platforms in the United States. The company offers cloud video surveillance, which stores the video surveillance in the cloud with AI computer vision, including face recognition, license plate reading, object detection, and other features; remote guarding solution, a browser-based remote guard call center software; remote guards service, which connects to the in-house live agents. It is also involved in provision of cloud video recorder, an internet of things device that collects video from cameras and transmits it to the cloud; cameras and speakers; and mobile surveillance trailer solution, a solar and battery powered video surveillance tower with wireless broadband that connects to the cloud video surveillance and remote guarding services. It also offers smart parking solutions. The company was formerly known as C…
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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.