Evaluating AI Companies

Understand how to evaluate AI companies as businesses, not just as technology.

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>Differentiate AI-native and AI-enabled companies.

Identify genuine competitive moats in AI businesses.

Evaluate data advantages, model advantages, integration, and distribution.

Assess foundation model companies, infrastructure providers, middleware platforms, and AI applications.

Analyse revenue quality, unit economics, inference costs, and margin trajectories.

Evaluate customer concentration, talent concentration, compute commitments, and operational risks.

Perform AI-specific due diligence for acquisitions and investments.

Interpret benchmark claims and recognise common red flags.

Value pre-revenue AI companies using structured commercial frameworks.

Build more meaningful comparable-company analyses for AI businesses.

Construct diversified AI investment portfolios across the value chain.

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Learn to evaluate AI companies with the discipline of an investor rather than the excitement of a technology observer.