Claude Science, an AI workbench for scientists, is now available

AI has the potential to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Since launching our efforts in the life sciences last fall, we’ve worked to improve our model capabilities, make connections to the scientific ecosystem via MCPs and skills, and launch partnerships in an effort to realize this potential.

Today, we’re introducing our most significant expansion of these efforts: Claude Science , an AI workbench for scientists. Claude Science is an app that integrates the tools and packages that researchers most commonly use, produces auditable artifacts, and provides flexible access to computing resources.

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.

Jérôme Lecoq, a neuroscientist at the Allen Institute, used Claude Science to build a multi-agent “computational review template” comprising about 20 custom skills geared towards writing long-form reviews. The sub-agents read through thousands of papers, pulling the central claim and the key quantitative finding, and storing them in an evidence state database. Then the pipeline constructs a narrative arc, writing the review section by section and delegating each to its own specialized sub-agent. Within each section, dedicated agents generate quantitative cross-study figures directly from the evidence database. A key component of the workflow, enabled by Claude Science, is the use of actor-critic pairs: one agent creates content while a separate reviewer agent evaluates it for accuracy and citation fidelity.

And Stephen Francis, an associate professor and epidemiologist at the UCSF Brain Tumor Center, has used Claude Science to support studies on the molecular epidemiology of glioma, a type of primary tumor that begins in the glial cells of the brain. His lab investigates the genetic basis for how thousands of small-effect germline variants combine to shape individual susceptibility. Although this work predated Claude Science, Francis said the app has dramatically accelerated the analysis, enabling comprehensive germline workups across multiple approaches in roughly one-tenth the time it previously took. His group independently validated Claude Science’s results, confirming that it can produce both rapid and robust analyses.

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.