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Fobi AI Inc (FOBIF) Fair Value & Analysis

Technology · US · Market cap $23.2M

Price$0.0950
Fair Value$0.0100
Upside-89.5%
Quality95/100
Evidence: Low Range $0.0100 – $0.0100

Fair value as of: Jun 23, 2026

Analysis

Fobi AI Inc (FOBIF) currently trades at $0.0950, while our model-based Fair Value estimate is $0.0100 — implying the stock looks roughly 89.5% overvalued today. We read business quality at 95/100 (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: low).

About the company

Fobi AI Inc., together with its subsidiaries, operates as a data intelligence technology company that delivers contactless solutions and data intelligence for sports and entertainment, telecom, financial services, hospitality, and retail industries in North America and Europe. It offers embedded engagement mobile wallet pass; platform-as-a-service; consulting services and development services; data-driven insights portal delivers real-time analytics and insights for customers; and engages in the resale, referring, licensing, and hosting of its technology to users. The company also sells software as a service. Fobi AI Inc. was formerly known as Loop Insights Inc. The company was founded in 2017 and is based in Vancouver, Canada.

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Frequently asked questions

Is Fobi AI Inc (FOBIF) undervalued?
As of Jun 23, 2026, our model estimates a fair value of $0.0100 versus a price of $0.0950 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FOBIF?
Our 21-model fair value for Fobi AI Inc is $0.0100 (as of Jun 23, 2026), built from audited fundamentals. The current price is $0.0950.
What is the quality score of FOBIF?
Fobi AI Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.