Veritone, Inc (VERI) Fair Value & Analysis
Technology · US · Market cap $186M
Fair value as of: Jun 24, 2026
Analysis
Veritone, Inc (VERI) currently trades at $1.42, while our model-based Fair Value estimate is $2.20 — implying the stock looks roughly 54.9% 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
Veritone, Inc., together with its subsidiaries, engages in the provision of artificial intelligence (AI) computing solutions and services in the United States, the United Kingdom, France, Australia, Israel, and India. It develops and operates aiWARE platform, an AI operating system, that uses machine learning algorithms or AI models designed to mimic human cognitive functions, such as perception, prediction, and problem solving and optimization, as well as enables users to transform unstructured data into structured data, analyze and optimize data to drive business processes and insights. The company also offers software products and services to commercial enterprise and public sector customers; and managed services, including cloud-native digital content management solutions; and content licensing and representation services. It serves media and entertainment, government, legal and compliance, energy, and other vertical markets. The company has a strategic partnership with LeoSight…
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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.