\$124 million Series A

Report: Anthropic Business Breakdown & Founding Story | Contrary Research Powered by Discover Companies Reports Foundations & Frontiers Tech Trends Report Conversations Fellowship About Connect Email LinkedIn Twitter Subscribe Powered by © 2026 Contrary Research · All rights reserved Privacy Policy By navigating this website you agree to our privacy policy . Deny Accept Anthropic AI / ML Amongst foundation model developers, Anthropic has positioned itself as a company with a particular focus on AI safety and describes itself as building “AI research and products that put safety at the frontier.” Founded by engineers who quit OpenAI due to tension over ethical and safety concerns, Anthropic has developed its own method to train and deploy “Constitutional AI”, or large language models (LLMs) with embedded values that can be controlled by humans. Since its founding, its goal has been to deploy “large-scale AI systems that are steerable, interpretable, and robust”, and it has continued to push towards a future powered by responsible AI. Tags AI / ML Founding Date Dec 1, 2020 Headquarters San Francisco, California Total Funding $33.7B Status Private Stage Series F Employees 4155 Careers at Anthropic Mentioned In Report The Case for Specialized AI By Karina Chen & Claire Burch Report The Vertical AI Playbook By Kyle Harrison & Etienne Segal Report The Age of Composable Software By Branick Weix & Kyle Harrison Report An Internet Built for AI By Maya Lekhi & Kyle Harrison Report The State of AI Assistants By Colin Yuan & Kyle Harrison Report Bias & Fairness in AI Models By Jennifer Chen & Claire Burch Report Economics of the AI Build-Out By Claire Burch Report The Long Tail of AI By Jack Raines, Rohan Gupta & Kyle Harrison Report The Openness of AI By Kyle Harrison, Andriy Mulyar, Brandon Duderstadt & Alex Liu Foundations & Frontiers The Acceleration of Artificial Intelligence By Anna-Sofia Lesiv & Sachin Maini Foundations & Frontiers How Much Energy Will It Take To Power AI? By Anna-Sofia Lesiv & Sachin Maini Show more Updated February 6, 2026 Reading Time 77 min Memo Thesis Founding Story Product Market Competition Business Model Traction Valuation Key Opportunities Key Risks Summary Authors Authors William Guo Fellow See articles Alice Ao Senior Fellow See articles Etienne Segal Senior Fellow See articles Christian Okokhere Fellow See articles Michael Kim Senior Fellow See articles Memo Updated February 6, 2026 Reading Time 77 min Thesis Historically, there have been two major tech-driven transformations; advancements that have been “powerful enough to bring us into a new, qualitatively different future”: the agricultural and industrial revolutions. These “general-purpose” technologies fundamentally altered the way that economics worked. In the short period that computers have existed, machines have already exceeded the intelligence of humans in some aspects, leading some to believe that artificial intelligence (AI) is the next general-purpose transfo

... (truncated, 3431 KB total)