Anthropic, NVIDIA Move AI Agents Deeper into Scientific Workflows
Anthropic has introduced Claude Science, a new AI workbench for scientists that integrates research tools, produces auditable artifacts, and connects to specialized life sciences models and workflows from NVIDIA.
The beta release, announced June 30, gives Claude Pro, Max, Team, and Enterprise users access to an application designed to help researchers work across literature review, data analysis, figure generation, manuscript refinement, and computational workflows. Anthropic said Claude Science is available on macOS and Linux, and can run locally, on remote machines over SSH, or through a high-performance computing login node.
The launch is part of a broader push by AI companies to turn general-purpose assistants into domain-specific workbenches for professional users. In life sciences, that means moving beyond chat-based summarization toward agents that can query databases, write and run code, inspect outputs, preserve research history, and connect to scientific tools already used by labs.
Anthropic said Claude Science brings fragmented scientific tools into a single research environment. The app can work with tools such as PubMed, Jupyter, R, cluster terminals, and domain-specific scientific databases, while preserving an auditable history of how outputs were produced.
Users interact with a generalist coordinating agent that has access to more than 60 curated skills and connectors configured for genomics, single-cell analysis, proteomics, structural biology, cheminformatics, and other research areas. The system can also use specialist agents created by users, and includes a reviewer agent that checks citations and calculations, flagging and correcting errors, according to Anthropic.
A central claim in the launch is reproducibility. When Claude Science generates a figure, it includes the code and environment used to create it, a plain-language description of the process, and the message history leading up to the output. The company said that history is intended to make results easier to validate and reproduce later.
That focus is likely to matter for researchers and enterprise AI buyers. Scientific AI tools may be judged less by whether they can produce plausible answers and more by whether their work can be traced, challenged, repeated, and incorporated into established review processes.
NVIDIA’s role comes through its BioNeMo Agent Toolkit, which the chipmaker announced June 23. Anthropic said Claude Science uses BioNeMo Agent Toolkit skills to connect to life sciences models and libraries in BioNeMo, including Evo 2, Boltz-2, and OpenFold3.
NVIDIA describes BioNeMo Agent Toolkit as a set of domain-specific tools and skills for agentic life sciences workflows. The toolkit includes NVIDIA life sciences libraries, tools, and open models, and is designed to help agents gather evidence, reason across findings, run computational experiments, and recommend next steps.