Anthropic is an AI safety company and public benefit corporation building reliable, interpretable, and steerable AI systems, best known for developing the Claude family of large language models.
Anthropic is an AI safety company and public benefit corporation building reliable, interpretable, and steerable AI systems, best known for developing the Claude family of large language models.
People– no linked people
Updated 05/18/26Funding Details
Updated 05/18/26- Annual Budget
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $57,300,000,000
Org Details
Updated 05/18/26Anthropic is an American AI safety company and public benefit corporation headquartered in San Francisco, California. It was founded in 2021 by Dario Amodei (CEO) and Daniela Amodei (President), along with seven other former OpenAI researchers including Tom Brown, Chris Olah, Sam McCandlish, Jack Clark, Jared Kaplan, and others, who left OpenAI over concerns about the pace of deployment and commitment to safety. The company operates under a unique governance structure. As a public benefit corporation, Anthropic is legally required to prioritize generating a positive social impact alongside profit. Its Long-Term Benefit Trust (LTBT) is a purpose trust designed to ensure the company's mission of responsible AI development remains central to its operations and cannot easily be overridden by commercial pressures or investor interests. Anthropics primary product is the Claude family of large language models, which has grown through multiple generations (Claude 1, 2, 3, 3.5, and 3.7 as of early 2026). Claude is available via API, an enterprise platform, and consumer interfaces. Claude Code, a coding-focused product, reached over $2.5 billion in annualized revenue by February 2026, representing roughly 4% of all GitHub public commits worldwide. Anthropics safety research spans several major areas: Constitutional AI (CAI), a technique for training AI systems to be helpful and harmless using AI-generated feedback guided by a set of principles; mechanistic interpretability, which aims to reverse-engineer the internal computations of neural networks to understand and detect deceptive alignment; scalable oversight, which develops methods for humans to supervise AI systems more capable than themselves; and process-oriented learning, which rewards safe reasoning methods rather than just outcomes. The company also conducts extensive red-teaming and maintains a dedicated alignment science team. Anthropics theory of change holds that having safety-focused organizations at the frontier of AI capabilities is essential, rather than ceding the frontier to less safety-conscious developers. By building the most capable and safest AI systems simultaneously, Anthropic aims to demonstrate that safety and capability are complementary, influence industry norms through its research publications and policy engagement, and maintain the technical credibility to conduct the most relevant safety research. As of February 2026, Anthropic raised $30 billion in a Series G funding round led by GIC and Coatue at a $380 billion post-money valuation, bringing total funding raised to approximately $57 billion across multiple rounds. The company reported a revenue run rate of $14 billion in February 2026, with growth exceeding 10x annually for each of the prior three years. Eight of the Fortune 10 companies are Claude customers.
Theory of Change
Updated 05/18/26Anthropic believes that if transformative AI is coming regardless, it is better for safety-focused labs to be at the frontier than to cede that ground to developers less focused on safety. The causal chain runs as follows: by building highly capable AI systems (Claude) while simultaneously conducting cutting-edge safety research (Constitutional AI, mechanistic interpretability, scalable oversight), Anthropic generates both the technical insights needed to make AI safer and the commercial credibility to influence industry norms and government policy. Publishing safety research raises the bar for the entire field. Being commercially successful provides the resources to fund the most ambitious safety work and ensures Anthropic has a seat at the table in shaping AI governance. The company also maintains a portfolio approach to safety research that hedges across optimistic, intermediate, and pessimistic scenarios for whether alignment is solvable, so that their work produces value regardless of how hard the problem turns out to be.
Grants Received– no grants recorded
Updated 05/18/26Projects– no linked projects
Updated 05/18/26Discussion
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