Claude Science, an AI workbench for scientists \ Anthropic<br>Try Claude

Announcements<br>Claude Science, an AI workbench for scientists, is now available<br>Jun 30, 2026<br>Get started with Claude Science

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.<br>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.<br>Introducing Claude Science<br>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.<br>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 multistep 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.<br>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.<br>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.<br>How it works<br>Claude Science displays proteins, structures, and molecules natively, with every result reproducible and traced to its code.<br>Rich scientific artifacts, fully reproducible. Scientific research is inherently visual, so Claude Science generates figures and manuscripts alongside the code that created them. It natively renders rich scientific artifacts, including 3D protein structures, genome browser tracks, chemical structures, and more. You can chat with the agent about any detail, annotating figures and manuscripts in-line so the agent knows what to address to make them publication-ready.<br>When it generates a figure, Claude Science includes the exact code and environment that produced it, a plain-language description of how it was created, and the full message history. This allows you to understand the inputs, making the work easier to validate and reproduce even months later. You can ask Claude Science to make edits to figures in plain language—removing gridlines, for example, or changing an axis to log scale—and the agent will edit its own code.<br>Claude Science builds environments and manages compute on your laptop, your cluster, or GPUs on demand.<br>Manages your compute and scales on demand. Large analyses—folding a protein, for example, or running a genomics pipeline over a massive dataset—often require researchers to shift their focus to setting up a computing job, waiting while it’s sent to a cluster, checking whether it succeeded or failed, and pulling the results back. Claude Science handles this process for you. It drafts a plan, asks before reaching new resources, and lets you review or revoke any decision before writing and submitting the job to the computing resources your lab already uses (your own HPC cluster over SSH, or your Modal account for compute on demand), scaling the analysis from a single GPU to hundreds as needed.<br>Because its agents work inside a running session that holds context in memory, even massive datasets only need to be loaded once. It runs on your lab’s own infrastructure—your laptop, Linux box, or HPC login node—so large or sensitive datasets never have to leave the systems they’re already on, and only the context needed for each step of the analysis is sent to Claude. As the pipeline runs, a reviewer agent inspects the outputs, flagging incorrect citations, untraceable numbers, and figures that don’t match their underlying code, and self-correcting as it goes. You can fork the session at any point to compare two approaches without losing the original thread.<br>Claude Science is pre-configured for genomics, single-cell, proteomics, and cheminformatics, backed by more than 60 scientific...