C3.ai, Inc (AI) Fair Value & Analysis
Technology · US · Market cap $1.5B
Analysis
C3.ai, Inc (AI) currently trades at $9.68, while our model-based Fair Value estimate is $13.83 — implying the stock looks roughly 42.9% undervalued today. We read business quality at 97/100 (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
C3.ai, Inc. operates as an enterprise artificial intelligence application software company. The company offers C3 agentic AI platform, an application development and runtime environment that enables customers to design, develop, and deploy enterprise AI applications; C3 AI CRM Suite, a customer relationship management solution; C3 Generative AI that enables to locate, retrieve, present information, disparate data stores, applications, and enterprise information systems; C3 AI Health Suite to accelerate healthcare innovation; and C3 AI Financial Services Suite. Its C3 AI Applications include C3 AI Asset Performance suite, which consists of C3 AI Reliability, C3 AI Process Optimization, and C3 AI Energy Management applications. The company's C3 AI Supply Chain Suite comprises C3 AI Supply Network Risk, C3 AI Inventory Optimization, C3 AI Demand Forecasting, C3 AI Production Schedule Optimization, and C3 AI Sourcing Optimization solutions; C3 AI Sustainability Suite includes C3 AI ESG …
Open the full interactive analysis →
Similar stocks
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.