Anthropic has unveiled Claude Science, a new AI-powered research workbench designed to help scientists speed up discoveries by bringing together the tools, data sources and computing resources commonly used in modern research.
The new platform is aimed at reducing the time researchers spend switching between multiple databases, software packages and computing environments.
Instead, Claude Science provides a unified workspace where scientists can search scientific literature, analyse complex datasets, write and execute code, generate publication-ready figures and draft research papers while maintaining a transparent record of how every result was produced.
According to Anthropic, the platform integrates more than 60 specialised scientific skills and connectors covering disciplines such as genomics, proteomics, structural biology, single-cell analysis and cheminformatics.
It can also display complex scientific outputs, including 3D protein structures and chemical models and includes reviewer agents that automatically check citations, calculations and other outputs to improve accuracy and reproducibility.
Claude Science is currently available in beta for paid Claude subscribers, including Pro, Max, Team and Enterprise users. The application runs locally on macOS and Linux systems, while enterprise and research teams can also connect it to remote high-performance computing infrastructure used by universities and laboratories.
Alongside the product launch, Anthropic announced it will begin conducting its own early-stage drug discovery research, focusing on rare and neglected diseases that often receive limited commercial investment from pharmaceutical companies.
Company executives said participating directly in drug development will provide valuable real-world feedback to improve Claude Science while advancing treatments for conditions that have historically been overlooked.
Anthropic said the move builds on its broader healthcare and life sciences strategy launched in late 2025, positioning Claude Science as a platform that can assist researchers throughout the scientific workflow from reviewing literature and analysing experimental data to producing reproducible research outputs and supporting biomedical discovery.
The launch reflects growing competition among leading AI companies to develop specialised tools for scientific research, healthcare and pharmaceutical development, as generative AI increasingly moves beyond general-purpose chatbots into domain-specific applications capable of accelerating complex scientific work.
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