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Table of Contents We intend to fund these investments through the revenue we generate and the capital that we raise. As of September 30, 2026, and prior to taking into account the net proceeds to us from this offering, we had $ of liquidity, comprised of $ of cash and cash equivalents, $ of short-term investments, and $ of availability under our A&R Credit Facility (as defined below). We also maintain significant funding support from our strategic partners, including up to $ in available financing capacity under our note purchase agreements and up to $ in equity commitments. In addition, we estimate that the net proceeds to us from this offering will be approximately $ , based upon the assumed initial public offering price of $ per share, which is the midpoint of the estimated offering price range set forth on the cover page of this prospectus, and after deducting estimated underwriting discounts and commissions and estimated offering expenses payable by us, or approximately $ if the underwriters’ option to purchase additional shares of our Class A common stock from us is exercised in full. How We Generate Revenue At the foundation of our business is our family of four Claude model classes—Mythos (including Fable), Opus, Sonnet, and Haiku—each optimized for a different point on the capability-cost-speed curve. Our frontier models allow customers to match the right model to each use case. Customers typically use higher-capability models for complex reasoning, coding, and agentic workflows where greater model intelligence is required. Customers also frequently adopt our full range of models, routing individual tasks to the models that are most optimized to meet their needs along the capability-cost-speed curve. The model a customer uses and the volume of usage are the primary drivers of customer spend. We establish a direct contractual relationship with the customer and offer customers the flexibility to purchase directly from us or through CSP marketplaces, and many customers utilize both channels. Pay-for-intelligence, our consumption-based revenue model, is our primary revenue model and currently represents the substantial majority of our total revenue. Under this model, customers pay for usage, which is metered in tokens and priced according to the model selected. Our pay-for-intelligence revenue is primarily generated from customers building applications incorporating Claude or utilizing our first-party applications. In addition, we offer certain of our applications on a subscription basis, serving both enterprises and prosumers. Under this model, customers pay a subscription fee for a specified level of usage and capabilities during the subscription term, which is generally 12 months or less. Depending on the model, platform, or applications chosen by our customers, they enter into pay-for- intelligence pricing, subscription-based pricing, or both. For example, when subscribers approach or exhaust the usage capacity included in their tier, they may utilize a higher subscription tier or purchase more intelligence directly, creating a seamless bridge from subscription to incremental pay-for-intelligence revenue. A growing number of enterprise customers agree to non-cancelable annual or multi-year contracts with minimum spend commitments in exchange for a committed price list. These contracts result primarily in consumption-based revenue. Consumption-based revenue increased from $288 million, or 75% of total revenue, for the year ended December 31, 2024, to $3.8 billion, or 83% of total revenue, for the year ended December 31, 2025, to $13.1 billion, or 80% of total revenue, for the six months ended June 30, 2026. Subscription-based revenue increased from $98 million, or 25% of total revenue, to $789 million, or 17% of total revenue, to $3.2 billion, or 20% of total revenue, over the same periods. The higher increase in consumption-based revenue reflects the growth in customers with $100,000 or more of revenue on a TTM basis. For 2023, our revenue of $41 million was substantially all consumption-based, reflecting our early operations. We expect consumption-based revenue to continue to represent the substantial majority of total revenue for the foreseeable future. Our recent growth may reflect early-stage adoption dynamics, the nascency of the AI market, and rapid initial customer expansion that may not be sustainable over time. We expect our revenue growth rate to decline over time, and it may decline significantly and more rapidly than we anticipate as our revenue base increases and as the market matures. 138
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