Anthropic has unveiled Claude Science, a new AI-powered workbench designed to streamline scientific research by bringing literature analysis, data processing, coding, and computational workflows into a single integrated environment. The platform marks the company's most significant expansion into the life sciences, aiming to accelerate scientific discovery and healthcare innovation.

Currently available in beta for Claude Pro, Max, Team, and Enterprise users, Claude Science is built to address the fragmented nature of modern research, where scientists often work across multiple databases, software tools, programming environments, and computing platforms.

The platform enables researchers to conduct end-to-end scientific workflows—from analysing scientific literature and executing complex research tasks to generating publication-ready figures and manuscripts. Every output includes an auditable history, allowing scientists to verify, reproduce, and validate results, a key requirement for research integrity.

Claude Science integrates with commonly used research environments and supports local deployment on macOS and Linux, as well as remote access through SSH and high-performance computing (HPC) login nodes. It is designed to fit into existing research workflows while providing flexible access to computational resources.

At the core of the platform is a general-purpose coordinating AI agent equipped with more than 60 pre-configured scientific skills and connectors spanning genomics, single-cell biology, proteomics, structural biology, cheminformatics, and other life science disciplines. The system can also orchestrate multiple specialist AI agents created by users to perform domain-specific tasks.

To enhance reliability, Claude Science incorporates a dedicated reviewer agent that verifies citations, checks calculations, and identifies potential errors before research outputs are finalised.

The launch builds on Anthropic's broader efforts to expand AI applications in scientific research through enhanced model capabilities, ecosystem integrations, and strategic partnerships. By combining AI reasoning with specialised scientific tools, Claude Science aims to reduce administrative overhead, improve research reproducibility, and enable scientists to focus more on discovery than on managing fragmented workflows.

As AI continues to transform research and drug discovery, platforms such as Claude Science are expected to play an increasingly important role in accelerating innovation across the life sciences.