Who Founded Anthropic?

Dario Amodei is co-founder and Chief Executive Officer of Anthropic PBC. He previously served as Vice President of Research at OpenAI, directing the teams that built GPT-2 and GPT-3 and the scaling law research that still shapes how frontier models are planned. He left OpenAI in late 2020 with senior colleagues and incorporated Anthropic in January 2021 as a Delaware public benefit corporation. Under him the company raised a $13 billion Series F at a $183 billion valuation in September 2025, a $30 billion Series G at $380 billion in February 2026 and a $65 billion Series H at $965 billion in May 2026, and confidentially submitted a draft S-1 for a US listing on June 1, 2026. He has also called publicly for pacing frontier development, refused Department of Defense demands in February 2026 to drop limits on mass surveillance and fully autonomous weapons, and in September 2026 agreed to give independent evaluators permanent access to Anthropic models.

Dario Amodei was born in 1983 in San Francisco.

Daniela Amodei is co-founder and President of Anthropic PBC, responsible for the commercial and operating side of the company: go-to-market, finance, people, investor relations and public benefit compliance. She previously led safety and policy at OpenAI as Vice President and held operations roles at Stripe. At Anthropic she has overseen growth to more than 2,500 employees as of early 2026 and the distribution strategy that put Claude on Amazon Web Services, Google Cloud and Microsoft Azure.

Daniela Amodei was born in 1987 in San Francisco. Education: University of California, Santa Cruz.

Jack Clark is a co-founder of Anthropic and its head of policy. Since March 2026 he has also led the Anthropic Institute, a think tank the company launched to study the effects of AI. He was previously Policy Director at OpenAI and a technology journalist at Bloomberg and The Register, has co-chaired the Stanford AI Index, and represents Anthropic in work with government safety bodies and in external evaluations of frontier models. (Exact birth year remains publicly undisclosed).

Sam McCandlish is a co-founder of Anthropic and a researcher known for work on the scaling laws of neural networks. At OpenAI he co-authored research showing a predictable relationship between training compute and model performance. At Anthropic that work informs how the company sizes and plans training runs for the Claude family. (Exact birth year remains publicly undisclosed).

Jared Kaplan is a co-founder and Chief Science Officer of Anthropic. He was a lead author of 'Scaling Laws for Neural Language Models' in 2020, which showed that model loss falls predictably as compute, data and parameter count increase. A former Johns Hopkins physics professor, he collaborated with OpenAI researchers on that work before co-founding Anthropic in January 2021, and now directs the science behind Claude training and alignment.

Education: Harvard University. (Exact birth year remains publicly undisclosed).

Tom Brown is a co-founder of Anthropic and was the lead author of the 2020 GPT-3 paper 'Language Models are Few-Shot Learners' at OpenAI, which showed that large language models can handle many tasks from a few examples without task-specific fine-tuning. He left OpenAI in 2021 to help found Anthropic, where he built much of the early training infrastructure behind Claude. (Exact birth year remains publicly undisclosed).

Chris Olah is a co-founder of Anthropic and leads its interpretability research, which works out which internal features and circuits drive a model's behaviour. His team's dictionary learning work in 2024 extracted millions of interpretable features from Claude 3 Sonnet, including one tied to the Golden Gate Bridge. He previously worked on interpretability at Google Brain and OpenAI.

Christopher Olah was born in 1991 or 1992 and is Canadian. He is known for research on neural network interpretability, in particular mechanistic interpretability.

Ben Mann is a co-founder of Anthropic and one of the authors of OpenAI's 2020 GPT-3 paper 'Language Models are Few-Shot Learners'. At Anthropic he has worked on training and aligning the Claude models and on the practices that govern how they are released. (Exact birth year remains publicly undisclosed).