Anthropic company profile: valuation, funding & revenue

This Anthropic company profile covers the company's valuation, revenue, funding rounds, investors and history. Anthropic works in artificial intelligence, with a focus on frontier AI models and assistants. It was founded in 2021 and is headquartered in San Francisco, California, United States. Its latest valuation on record is About US$965 billion (May 2026). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

Funding history

Anthropic timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2021 — Anthropic is founded in San Francisco by Dario Amodei (CEO), Daniela Amodei (President), Jared Kaplan, Sam McCandlish, Tom Brown, Chris Olah, Jack Clark and Ben Mann.
• Mar 2025 — Series E: US$3.5B, valuing the company at US$61.5B. Investors: Lightspeed Venture Partners (lead).
• Sep 2025 — Series F: US$13B, valuing the company at US$183B. Investors: ICONIQ (lead).
• Feb 2026 — Series G: US$30B, valuing the company at US$380B post-money. Investors: GIC and Coatue (leads); D.E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, MGX; Microsoft, Nvidia.
• May 2026 — Equity round: About US$65B (including US$15B previously committed by hyperscalers), valuing the company at About US$965B. Investors: Altimeter, Dragoneer, Greenoaks, Sequoia Capital (leads).

Investors

Overview

Anthropic is an AI research and products company best known for Claude, a family of large language models and the AI assistant built on them. Businesses use Claude through Anthropic's API and cloud partners to write and analyse text, answer questions over their documents, power customer service, and, increasingly, write software and carry out multi-step tasks as an agent. Consumers and teams use the Claude apps on the web, desktop and mobile. Anthropic has become one of the two or three leading frontier AI developers in the world, and its rapid growth in enterprise and coding use pushed its private valuation to among the highest of any company in history.

Anthropic was founded in San Francisco in 2021 by a group of former OpenAI researchers and leaders: Dario Amodei, the CEO, and his sister Daniela Amodei, the President, together with Jared Kaplan, Sam McCandlish, Tom Brown, Chris Olah, Jack Clark and Ben Mann. Several had worked on GPT-2 and GPT-3 and on research into how AI capabilities scale with computing power and data. They left to build a company focused on AI safety research and on developing AI systems that are reliable, interpretable and steerable.

Products

• Claude models: successive generations of models in different sizes, traditionally named Haiku (fast and low cost), Sonnet (balanced) and Opus (most capable), offered through Anthropic's API and through Amazon Bedrock, Google Cloud Vertex AI and Microsoft's platforms.
• Claude apps: the consumer and team assistant, with Pro, Max, Team and Enterprise plans.
• Claude Code: a coding agent that works in developers' terminals, editors and other tools to write, test and change code; it became one of the fastest-growing developer products in the industry.
• Agent tools: capabilities that let Claude use computers, browse, call software tools and connect to business systems, along with the Model Context Protocol, an open standard Anthropic introduced for connecting AI to data sources and tools.

Business model

Most of Anthropic's revenue comes from businesses: API usage priced per token, enterprise subscriptions and usage through cloud partners. Coding has been a particularly large driver, both through Claude Code and through other coding tools built on Claude models. Consumer subscriptions are a smaller but growing source. Anthropic doesn't publish audited financial statements; press reports have described very rapid growth in its annualised revenue, but because those figures change quickly and aren't formally disclosed, we show revenue as not disclosed.

Funding history

Anthropic's funding has grown dramatically. Amazon committed a total of US$8 billion over 2023 and 2024 and became its primary cloud and training partner, while Google invested several billion dollars and supplies TPU computing capacity. In equity rounds:

• March 2025, Series E: US$3.5 billion at US$61.5 billion, led by Lightspeed Venture Partners.
• September 2025, Series F: US$13 billion at US$183 billion, led by ICONIQ, after demand pushed the round far above its initial target.
• February 2026, Series G: US$30 billion at US$380 billion post-money, led by GIC and Coatue, with D.E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ and MGX, and participation from Microsoft and Nvidia.
• May 2026: about US$65 billion at roughly US$965 billion, led by Altimeter, Dragoneer, Greenoaks and Sequoia Capital, according to Bloomberg, including US$15 billion previously committed by cloud companies. Bloomberg reported that this valued Anthropic above OpenAI for the first time.

Much of the money raised goes to computing: Anthropic has signed very large agreements for chips and data centre capacity with Amazon, Google, Microsoft and Nvidia, and has announced its own data centre investments in the United States.

Governance and safety approach

Anthropic is a public benefit corporation, which means its directors must weigh its stated public benefit, the responsible development of advanced AI, alongside shareholder returns. A Long-Term Benefit Trust, made up of independent trustees, has the right to elect a growing share of its board. Anthropic publishes a Responsible Scaling Policy that sets out safety and security measures it commits to as models become more capable, and invests heavily in research areas such as interpretability, which tries to understand what happens inside neural networks, and alignment, which aims to make models behave as intended. Claude is trained in part with "Constitutional AI", a method that uses a written set of principles to guide model behaviour. Critics argue that a safety-focused company racing to build ever more powerful AI faces inherent tensions; Anthropic's view is that it's better for safety-focused developers to be at the frontier than to leave it to others.

Competition

Anthropic's main competitors are OpenAI, Google DeepMind, Meta, xAI and, in specific markets, companies such as Mistral AI and Chinese labs including DeepSeek, Alibaba's Qwen team and Moonshot AI. In coding it competes with OpenAI's Codex, GitHub Copilot, Cursor and Cognition, several of which also use Claude models, making them customers and rivals at once. Its advantages include strong performance in coding and agentic work, enterprise trust and a reputation for safety research.

Anthropic at a glance

Anthropic is a San Francisco AI company founded in 2021 by Dario Amodei, Daniela Amodei and other former OpenAI researchers. It makes the Claude models, the Claude apps and Claude Code. It raised US$3.5 billion at US$61.5 billion in March 2025, US$13 billion at US$183 billion in September 2025, US$30 billion at US$380 billion in February 2026, and about US$65 billion at roughly US$965 billion in May 2026, according to Bloomberg. Amazon and Google are major strategic investors.

Why Anthropic's valuation rose so fast

Several factors drove the valuation from tens of billions to hundreds of billions within about a year. First, revenue growth: enterprise adoption of AI, and especially AI for software development, grew faster than almost any software market before it. Second, agents: as models became able to carry out longer tasks, the potential market expanded from software tools budgets to a share of spending on knowledge work itself. Third, scarcity: only a handful of companies can train frontier models, and investors wanted exposure to them. Finally, strategic investors such as cloud providers and chipmakers invest partly because Anthropic buys enormous amounts of their computing capacity. Our guide to the most valuable AI startups compares Anthropic with peers.

The economics of frontier AI

Frontier AI companies spend huge sums on training new models and on the computing needed to serve customers. Revenue can grow very quickly, but so do costs, and companies like Anthropic have typically reported large losses while scaling. Investors are betting that model capabilities will keep improving, that prices will stay high enough to earn healthy margins on inference over time, and that the winners will capture a large share of a very large market. Risks include price competition, especially from open-weight models, the cost of computing, regulation and the possibility that capability gains slow.

Questions for businesses choosing an AI provider

• Which models perform best on your own tasks and data, measured with your own tests?
• How is your data handled, retained and protected, and is it used for training?
• Which cloud platforms and regions are available for compliance and data residency?
• How do costs compare at your expected usage, including for agentic workloads?

Latest developments (October 2026)

Since its May 2026 round at about US$965 billion, Anthropic's growth has continued. Reports said its annualised revenue run rate rose from about US$9 billion at the end of 2025, as reported by Bloomberg, to more than US$65 billion by the end of July 2026, according to later reporting. Reports also said the company had confidentially filed for an IPO, which it has not publicly confirmed. These are reported figures rather than audited results, but they make Anthropic one of the fastest-growing companies in history.

What to watch

Watch new model releases, enterprise and coding adoption, computing agreements and data centre projects, regulatory developments in the US, EU and elsewhere, any formal revenue disclosure and speculation about a possible future IPO.

Takeaways

Businesses can evaluate Claude alongside other frontier models for coding, analysis and agent work. Founders can see how a strong research identity and enterprise focus can scale quickly. Investors should weigh extraordinary growth against the very high costs of building frontier AI.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. Bloomberg Government (Bloomberg)
2. Seeking Alpha
3. Bloomberg Government (Bloomberg)
4. Nasdaq