The Anthropic website recently announced the introduction of Claude Science, an AI workbench app for scientists designed to integrate fragmented tools into a single research environment. The platform coordinates over 60 pre configured skills and connectors for domains like genomics, single cell analysis, proteomics, structural biology, and cheminformatics. It natively renders rich scientific artifacts, such as 3D protein structures and genome browser tracks, alongside the exact code used to produce them, ensuring all outputs carry an auditable history for validation and reproducibility.
Additionally, Claude Science automatically manages local, cluster, or on demand GPU computing jobs on a lab's existing infrastructure. Large or sensitive datasets remain on the lab's secure systems, as only the necessary context for each step is sent to the model. To preserve accuracy during complex pipelines, an integrated reviewer agent continuously inspects outputs, flagging and self correcting incorrect citations, untraceable numbers, or mismatched figures. Early deployments in preclinical research and neuroscience have accelerated multi step workflows, such as drug target nomination and long form literature reviews, to a fraction of their traditional timelines.