On June 30, Anthropic officially launched Claude Science, a dedicated artificial intelligence workstation designed to streamline computational and experimental research workflows. Rather than introducing a novel foundation model, the platform operates on Anthropic’s existing Claude Opus 4.8 architecture, marking a strategic pivot toward workflow integration over proprietary model development. The launch underscores a broader industry shift positioning AI as an active research execution tool rather than merely a query interface. Claude Science consolidates literature search, data analysis, computational modeling, and manuscript preparation into a unified interface. Acting as a central project manager, the system connects to over sixty specialized scientific databases and deploys modular sub-agents to distribute complex tasks. Users can integrate custom-trained expert agents, while a built-in fact-checking module verifies citations and calculations prior to publication. To ensure reproducibility, the platform automatically generates accompanying source code, execution environments, and plain-language methodology notes for all visual outputs, including three-dimensional protein and chemical structures. All computational workloads can be routed to institutional infrastructure, preserving data privacy. Performance evaluations conducted by Harvard physicist Matthew Schwartz indicate that Claude Science matches the analytical output of a second-year graduate researcher. Early deployments demonstrate tangible efficiency gains: the Allen Institute utilized the platform to architect a multi-agent computational review pipeline, while a UCSF brain tumor center reported accelerated glioma germline analysis validated by independent review. Novartis and the Allen Institute have also been identified as launch partners. The release positions Anthropic directly against rivals dominating life sciences AI. OpenAI employs a curated enterprise gateway with domain-specific fine-tuning, whereas Google DeepMind relies on exclusive foundational models integrated within its scientific ecosystem. Anthropic differentiates through a broader subscription-access model and a focus on agentic workflow orchestration. The strategic timing follows the recent departure of former DeepMind researcher and Nobel laureate John Jumper to Anthropic, signaling heightened competition for computational biology leadership. Claude Science is now available in beta for Pro, Max, Team, and Enterprise subscribers. Anthropic announced it will internally deploy the system to identify drug targets in neglected disease categories traditionally overlooked by pharmaceutical developers. To accelerate academic adoption, the company is funding up to fifty interdisciplinary biomedical research projects, offering grants of up to thirty thousand dollars to postdoctoral researchers and graduate students. Applications close on July 15, 2026, with awarded projects commencing in September. The launch establishes a new paradigm where AI infrastructure, rather than model scarcity, dictates competitive advantage in scientific discovery.