
Anthropic
AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems.
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$124m Valuation: $845m | Series A | ||
* | $580m | Series B | |
* | $300m Valuation: $2.9b | Late VC | |
* | $450m Valuation: $4.1b | Series C | |
* | N/A | Late VC | |
* | N/A | Late VC | |
* | $100m Valuation: $4.1b | Growth Equity VC | |
* | $4.0b | Growth Equity VC | |
* | $2.0b | Growth Equity VC | |
* | $200m Valuation: $15.0b | Late VC | |
* | $500m | Secondary | |
* | $50.0m | Growth Equity VC | |
* | $4.0b | Growth Equity VC | |
* | $1.0b Valuation: $60.0b | Growth Equity VC | |
* | $3.5b Valuation: $61.5b | Series E | |
* | $2.5b | Debt | |
Total Funding | $16.3b |

USD | 2023 | 2024 | 2025 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 900 % | 40 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article, Equity research estimates
Related Content
Anthropic is an AI research company focused on building reliable, interpretable, and steerable AI systems. The company's flagship product, Claude, is an AI assistant designed to handle tasks at any scale, catering to a wide range of clients from various industries. Operating in the artificial intelligence market, Anthropic leverages its expertise in natural language processing, human feedback, scaling laws, reinforcement learning, code generation, and interpretability to develop advanced AI solutions. The business model revolves around providing AI-driven services and products that enhance operational efficiency and decision-making processes for its clients. Revenue is generated through the deployment and licensing of its AI systems, as well as offering specialized AI research and development services.
Keywords: AI research, reliable AI, interpretable AI, steerable AI, Claude, AI assistant, natural language processing, reinforcement learning, code generation, human feedback.