Anthropic Raises $13 Billion At $183 Billion Valuation In Series F Round
Sep 3, 2025 | By Kailee Rainse

Anthropic, the AI research startup behind the Claude model series, has raised $13 billion in a Series F funding round, boosting its valuation to $183 billion over three times its value just six months ago.
SUMMARY
- Anthropic, the AI research startup behind the Claude model series, has raised $13 billion in a Series F funding round, boosting its valuation to $183 billion over three times its value just six months ago.
The round was led by ICONIQ, with Fidelity Management & Research and Lightspeed Venture Partners as co-leads. Other key investors include the Qatar Investment Authority, Blackstone, and Coatue.
This marks a sharp rise from the company’s $61.5 billion valuation in March 2025, when it raised $3.5 billion in Series E. The new funding will be used to "expand our capacity to meet growing enterprise demand, deepen our safety research, and support international expansion as we continue building reliable, interpretable, and steerable AI systems," Anthropic said in a blog post.
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Anthropic’s rapid growth is mainly fueled by increasing enterprise demand for its Claude AI models. In August, the company launched Claude Opus 4.1, an upgrade that enhances agentic tasks, real-world coding, and reasoning—features that are helping drive adoption among enterprise software and development teams.
Anthropic counts Alphabet and Amazon among its partners, with Amazon reportedly considering another multibillion-dollar investment to strengthen its strategic relationship with the startup.
The company is also expanding its connection with the U.S. government. In August, Claude was approved as an AI vendor by the U.S. General Services Administration, alongside OpenAI and Google. Shortly after, Anthropic announced it would offer Claude to the U.S. government for just $1, highlighting its long-term goal to become a major AI provider for public-sector needs.
About Anthropic
Anthropic is an AI research company focused on creating safe, reliable, and easy-to-control AI systems. Their work aims to develop interpretable models that prioritize safety and trustworthiness, ensuring AI technology benefits society while minimizing risks.