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Table of Contents position. In a talent-constrained industry, acquisitions can be an efficient path to adding exceptional technical talent that can immediately contribute to advancing Claude’s capabilities. We may also pursue transactions that strengthen our infrastructure position or deepen our capabilities in strategically important domains. For example, in April 2026, we completed the acquisition of Coefficient Bio, Inc., a computational biology company, to accelerate our research in the life sciences. We may also pursue partnerships, such as our recently launched AI services company, Ode with Anthropic, in which we have partnered with leading private equity firms to bring Claude’s capabilities to mid-sized companies across sectors, building solutions on the Claude Platform and supporting customers over the long term. Ecosystem partnerships also expand our reach, allowing customers to adopt Claude through SIs, consultants, and data platforms. Our Models, Platform, and Applications We are building at every layer of frontier AI. Our Claude model family provides the underlying intelligence. Our Claude Platform makes that intelligence available as a set of composable primitives that developers and enterprises can assemble into their own solutions. Our applications draw on those same primitives, packaged into products customers can deploy directly. Because we build these layers cohesively, improvements at any layer compound across the stack and benefit our customers. We believe this integrated approach has made us a partner of choice for customers transforming their business through AI. Customers can adopt, govern, and scale our technology immediately, and each new primitive and application we release expands the range of workflows they can run on Claude. Our platform unifies frontier intelligence with the harnesses, connectors, governance, and orchestration that are all required to put that intelligence into production. As customers build on the primitives we provide, Claude becomes an integral part of their data, workflows, and institutional knowledge, and the relationship deepens with each integration. We open our platform to all builders because we believe enabling a wide range of companies to build on Claude generates more innovation and value than we could create on our own. We build first-party applications to demonstrate where frontier models are heading and to deliver fully integrated solutions where we have a distinct viewpoint on the workflow. Applications like Claude Code and Claude Cowork are early examples of what the future of agentic work might look like; they put our latest AI capabilities directly into the hands of users while accelerating the market’s understanding of AI’s possibilities. Because our research and product teams work side by side, new model capabilities inform our products and customer feedback on those products informs our research priorities. This allows us to build products for where we believe model capabilities are going, not just where they are today. For example, we designed Claude Code around the agentic coding capabilities we expected our models to achieve, which positioned it to scale rapidly as those capabilities arrived. We have taken a similar approach with Claude Cowork. We also design our products to close the gap between what Claude can do and how fully customers use it, which we believe is important to helping customers realize the value of frontier intelligence. Rather than requiring customers to learn how the underlying models work, we build products that allow them to interact with Claude as they would with a colleague, simply and naturally, so they can adopt new capabilities as they become available. We believe that as we extend the frontier and broaden our application surfaces, customers realize value faster, embed Claude more deeply into their operations, and increasingly rely on us as a primary provider for their AI transformation. 198
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