Anthropic is following a well-worn playbook used by some of the most dominant technology companies in history - building a tightly interlocked product ecosystem designed to keep enterprise customers deeply embedded across its offerings. According to the company's S-1 filing submitted to the U.S. Securities and Exchange Commission, the approach appears to be gaining traction. More than half of customers spending at least $100,000 per year now use both the Claude platform and at least one first-party application such as Claude Code or Cowork. That figure has risen sharply from roughly 30% at the close of last year.

The S-1, filed on Monday, frames this cross-product adoption as direct evidence of Claude's competitive standing. "The speed and depth of our enterprise customer adoption are powerful evidence of Claude's position at the frontier of AI," the document states.

Enterprise Customer Numbers Tell a Strong Story

As of September 30, Anthropic reported more than 11,900 customers with annual spending of at least $100,000. Within that group, more than 1,900 customers were spending upward of $1 million annually, and approximately 250 were committing $10 million or more per year to the company's products.

Anthropic credits this momentum to what it describes as substantial usage expansion as businesses discover the value of deploying Claude at scale across their operations. That expansion drove a net revenue retention rate of approximately 900% as of the end of the third quarter - a figure that reflects how aggressively existing customers are increasing their spending over time.

In its filing, Anthropic takes a pointed shot at the legacy software-as-a-service industry, positioning Claude not as a "static product that serves a single use case," but as what it calls "frontier AI with rapidly advancing capabilities." The company argues that its offerings span three interconnected layers: the underlying models, the developer platform, and the consumer-facing applications built on top of them.

"An advance at any layer compounds across all three layers, accelerating the pace at which we can deliver more capable intelligence," the filing reads.

Anthropic describes this as an "integrated approach" and points to it as the primary driver behind the growing share of customers using both the Claude Platform and its first-party applications.

A Familiar Expansion Strategy

The growth model Anthropic is executing is recognizable to anyone who has followed the trajectories of major technology platforms. Uber started with ride-hailing and expanded into food delivery and freight logistics. Amazon Web Services drew in businesses with core cloud computing infrastructure before expanding those relationships into storage, databases, machine learning tools, and dozens of other services, making the overall ecosystem increasingly difficult to abandon.

Anthropic's approach mirrors this logic. A business that initially integrates Claude through the API can later deploy Claude Code to its engineering teams, and then roll out Cowork to a broader workforce. Each additional product layer deepens the customer's reliance on the platform and raises the cost of switching to a competitor.

The financial data within the filing underscores just how valuable these multi-product customers become. In the third quarter, the top 5% of Claude Enterprise customers by spending who also used Claude Code were spending approximately 20 times more per month than the average enterprise user who did not use the coding tool. That gap illustrates both the revenue upside available as customers adopt more products and why Anthropic is motivated to push its applications into accounts that initially signed on only for API access.

Applied AI Teams and Strategic Partnerships

To accelerate this organic expansion, Anthropic has invested in what it calls Applied AI teams. An internal Applied AI group works alongside startups and established enterprises to help integrate Claude into their existing technology infrastructure. Separately, the company recently launched a joint venture with Blackstone and other private equity firms, called Ode with Anthropic, which places forward-deployed engineers directly inside client organizations to build custom AI tools using Claude.

Anthropic also relies on third-party distribution through partnerships with the major cloud hyperscalers: Amazon Web Services, Google Cloud, and Microsoft Azure. The filing describes this as a "joint go-to-market approach" in which Anthropic retains the direct contractual relationship with customers while paying each cloud provider a fee for distribution. The company says this structure allows it to avoid channel conflicts and maintain control over its own pricing.

Built for Disruption - Including of Itself

Anthropic's emerging stickiness strategy may prove especially important given the company's stated intention to continually reinvent its own business. The filing indicates that Anthropic plans to release "new classes of products whose aim is to dwarf the economic value of our existing ones," and that the company will spend less energy than a typical business defending its current products and business models. Instead, it says it will focus more resources on defining entirely new ones.

That posture reflects the competitive reality of the AI industry, where the landscape can shift dramatically in a short period of time. For Anthropic, locking in enterprise customers across multiple product layers provides a degree of revenue stability even as the company pursues aggressive product evolution.

Revenue Growth Comes With Notable Risks

The filing does not shy away from acknowledging potential headwinds, even as it reports impressive financial results. Anthropic recorded revenue of $16.3 billion for the first half of fiscal year 2026, compared to $1.2 billion during the same period the prior year - an extraordinary rate of growth by any measure.

However, the cloud partnerships that have helped Anthropic scale its distribution are increasingly viewing the company as a direct competitor. The filing acknowledges that Amazon, Google, and Microsoft may choose to prioritize their own AI offerings or favor rivals in which they have made investments, which could create friction around Anthropic's access to the computing resources it needs to operate and grow.

Customer concentration presents an additional layer of risk. The filing's risk factors section addresses this directly:

"Any adverse change in demand from our largest customers ... could adversely affect our business and prospects. As a result, a significant reduction in spending by, or the loss of, one or more of our largest customers, if not offset by new customer relationships or increased business from our other existing customers, could adversely affect our business, financial condition, and results of operations."

The combination of rapid revenue growth, a deliberate ecosystem-building strategy, and a set of structural risks paints the picture of a company preparing to enter the public markets with a clear story for investors - one built around enterprise retention, product expansion, and the kind of compounding customer value that has defined the most durable technology businesses of the past two decades.