CurveBeam AI Limited (CRVAF) Fair Value & Analysis
Healthcare · US · Market cap $25.8M
Fair value as of: Jun 26, 2026
Analysis
CurveBeam AI Limited (CRVAF) currently trades at $0.0540, while our model-based Fair Value estimate is $0.0302 — implying the stock looks roughly 44.0% overvalued today. We read business quality at 76/100 (high quality), in the Healthcare 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: low).
About the company
CurveBeam AI Limited engages in the development and manufacture of point-of care specialized weight bearing medical imaging equipment in Europe, North America, and Australia. The company offers HiRise for bilateral weight bearing CT imaging; LineUP, a bilateral, weight bearing CT imaging of the knees and lower extremities for orthpedic practices; pedCAT Premium and pedCAT for imaging of the foot and ankle; InReach, a point-of-care extremity CT imaging which assess the distal extremities with 3D clarity at a fraction of the dose; and CubeVue Software visualization tools. It also provides software CurveBeam AI Autometrics for automatically segment foot and ankle datasets; Axiometrics, provides a semi-automatic measurement of the axes of rotation of the hip, femur, knee, and ankle; and TALAS, a measurement tool that semi-automatically calculate hindfoot alignment based on reproducible three-dimensional anatomical landmarks. In addition, the company offers custom web-based cloud platfor…
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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.