







We analyzed 207,000 research sessions to learn how Claude is used in science, why some tasks get more use than others, and how AI could speed up discovery.
Claude Science, an AI workbench for scientists
Claude Science integrates the tools researchers use most, produces auditable artifacts, and provides flexible access to computing resources.

Claude Science (beta)
Claude Science is your AI workbench for scientific research. Works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.

Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.
Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.

Which ‘AI scientist’ suits your lab? A guide for the perplexed
General-purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?

Introducing Claude 4
Discover Claude 4's breakthrough AI capabilities. Experience more reliable, interpretable assistance for complex tasks across work and learning.
Claude for Life Sciences
Discover how Claude accelerates life sciences research with new scientific connectors, skills, and improved performance for drug discovery and clinical work.




AI has supercharged scientists—but may have shrunk science
Analysis of 41 million papers finds that although AI expands individual impact, it narrows collective scientific exploration
Deep Research, information vs. insight, and the nature of science
What AI will accelerate in the scientific process, what it cannot do, and how we can prepare for new manners of scientific investigation.

How we built our multi-agent research system
On the the engineering challenges and lessons learned from building Claude's Research system

How we built our multi-agent research system
On the the engineering challenges and lessons learned from building Claude's Research system
