June 30, 2026 — AI has the potential to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Since launching efforts in the life sciences last fall, Anthropic has worked to improve its model capabilities, make connections to the scientific ecosystem via MCPs and skills, and launch partnerships in an effort to realize this potential.
Today, Anthropic is introducing its 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.
Introducing Claude Science
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.
Anthropic is releasing Claude Science today in beta for Claude Pro, Max, Team, and Enterprise users, and will continue to refine the platform as the company collects feedback from users.
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.
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.
Manages 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.
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.
Domain-Ready on Day One
Scientific knowledge is scattered across hundreds of specialized sources. In biology, for example, relevant data might sit across resources such as UniProt, PDB, Ensembl, Reactome, ClinVar, ChEMBL, GEO—each with its own schema and query language—as well as in journals and preprint servers, and domain-specific open models. When you ask Claude Science a question in plain language, specialist agents query and synthesize across all of these sources so you don’t have to navigate them individually. Claude Science uses the skills in NVIDIA’s BioNeMo Agent Toolkit to connect natively to the life sciences models and libraries in BioNeMo, including Evo 2, Boltz-2, and OpenFold3.
Scientists already have models, datasets, and pipelines they trust. Claude Science can connect to these as well, saving any pipeline as a reusable skill or accessing your lab’s preferred tool using a connector, with future sessions inheriting them automatically. This customizability allows you to access Claude, your proprietary data, and the validated tools you already rely on in one conversation. Claude Science benefits from partners’ specialized expertise and platforms, while more scientists reach their tools through Claude.
Getting Started with Claude Science
The Claude Science app is available in beta on macOS and Linux for Pro, Max, Team, and Enterprise plans. Anthropic is sharing it early so scientists can start to use it on real problems and tell Anthropic how to refine it.
Team and Enterprise users will need their admin to enable Claude Science. There is now a Team plan offering discounted seats for active scientific labs at academic institutions and nonprofit research organizations; learn more here.
In addition, Anthropic will be supporting up to 50 Claude Science AI for Science projects, providing up to $30,000 in credits. Modal will also be providing up to $2,000 in compute for select projects. Anthropic is looking for projects that span domains and explore the boundaries of science, with an early focus on biology and biomedical research. Applications are open through July 15, 2026, with award notifications sent out by July 31. Projects will run from September 1 to December 1, 2026—apply here.
To stay up-to-date on product announcements, provide feedback, and learn from others in the Claude Science community, join the AI for Science Discourse community.
Get started with Claude Science at claude.com/science.
Source: Anthropic
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