Anthropic is an AI safety and research company based in San Francisco. Our interdisciplinary team has experience across ML, physics, policy, and product. Together, we generate research and create reliable, beneficial AI systems.

Claude empowers you to deploy AI to business critical use cases, with very low hallucination rates and very high accuracy over long documents.

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Jul 11, 2023 · Claude 2 has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, claude.ai. We have heard from our users that Claude is easy to converse with, clearly explains its thinking, is less likely to produce harmful outputs, and has a longer memory.

At Anthropic, we develop large-scale AI systems, and our research teams help us to create safer, steerable, and more reliable models.

Mar 14, 2023 · Claude is a next-generation AI assistant based on Anthropic’s research into training helpful, honest, and harmless AI systems. Accessible through chat interface and API in our developer console, Claude is capable of a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability.

Anthropic’s role will be to provide as much evidence as possible that AI safety techniques cannot prevent serious or catastrophic safety risks from advanced AI, and to sound the alarm so that the world’s institutions can channel collective effort towards preventing the …

Claude is a family of highly performant and intelligent AI models built by Anthropic. While Claude is powerful and extensible, it’s also the most trustworthy and reliable AI available.

Jul 17, 2024 · We’re launching the Anthology Fund in partnership with Menlo Ventures to accelerate the development of groundbreaking AI applications. The Fund is a $100 million initiative financed by Menlo to support startups innovating broadly with Anthropic technology.

Dec 19, 2024 · Our work with customers has revealed two particularly promising applications for AI agents that demonstrate the practical value of the patterns discussed above. Both applications illustrate how agents add the most value for tasks that require both conversation and action, have clear success criteria, enable feedback loops, and integrate ...