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Anthropic introduced Claude Science, a new workspace that lets scientists do research in one place, with tools for databases, figures, and citation checks.
In short: Anthropic has introduced Claude Science, a single workspace that helps scientists do computer-based research without jumping between many different tools.
Anthropic announced Claude Science on Tuesday. The company describes it as an “AI workbench,” meaning a dedicated place where researchers can plan, run, and document their work. Think of it like a lab bench, but for data and analysis on a computer.
Anthropic says Claude Science is not a new AI model (a model is the “brain” behind a chatbot). It uses the same Claude models already available, including Claude Opus 4.8. The change is the workflow, which is the step by step process scientists follow to get work done.
In Claude Science, one main assistant can act like a project manager. It can connect to more than 60 scientific databases and use pre-built toolkits for areas like genomics, protein structure, and chemistry. It can also create sub-assistants to split up tasks, like a lead scientist assigning work to specialists.
Anthropic says a separate fact-checker AI double-checks citations and calculations before publication. The company notes this is still the same underlying AI checking its own work, not an outside authority.
Claude Science can also help with “reproducibility,” which means other people can repeat the same steps and get the same result. For example, it can generate figures, like 3D protein shapes, along with the exact code and notes that produced them. Anthropic also says it can run on a lab’s own computers, instead of sending data to Anthropic’s servers.
Claude Science is available in beta to Pro, Max, Team, and Enterprise subscribers. Anthropic also plans to support up to 50 research projects with up to $30,000 in credits each, with applications open through July 15, 2026.
AI is showing up more in scientific papers, and mistakes like made-up citations can slip in. Tools that keep work organized and easier to verify could reduce errors and save researchers time.
Source: TechCrunch AI
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