Synthèse
Scientific research is often tedious. Researchers must work across dozens of databases, each with their own schema, contend with file formats that require bespoke data pipelines and viewers, and transition between a roster of tools: PubMed, Jupyter, R, a cluster terminal, and more. Claude Science brings these fragmented tools into a single research environment where scientists can conduct all stages of their work. It helps you analyze literature and execute multi-step research, produces detailed
Scientific research is often tedious. Researchers must work across dozens of databases, each with their own schema, contend with file formats that require bespoke data pipelines and viewers, and transition between a roster of tools: PubMed, Jupyter, R, a cluster terminal, and more. Claude Science brings these fragmented tools into a single research environment where scientists can conduct all stages of their work. It helps you analyze literature and execute multi-step research, produces detailed artifacts, and lets you iteratively refine figures and manuscripts until they’re ready for publication. Every output carries an auditable history of how it was made, so you can validate and reproduce the results.
Like a Jupyter Notebook, you can access Claude Science wherever you already work—locally on macOS or Linux, or on a remote machine over SSH or with an HPC login node. Users interact with a generalist coordinating agent with access to over 60 curated skills and connectors pre-configured for genomics, single-cell, proteomics, structural biology, cheminformatics, and more. These agents can spin up others and engage with specialist agents created by users. And a reviewer agent checks citations and calculations, flagging and correcting errors. We are releasing Claude Science today in beta for Claude Pro, Max, Team, and Enterprise users, and will continue to refine the platform as we collect feedback from users.