
Anthropic launched Claude Science, an AI workbench for scientific research that integrates with over 60 databases and includes task-splitting agents and a fact-checking feature. Rather than releasing a new or more capable model, Anthropic is betting on workflow and infrastructure to compete with OpenAI's specialized GPT-Rosalind model and Google DeepMind's Gemini for Science platform, signaling a shift toward vertical, industry-specific products.
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Anthropic introduced Claude Science on Tuesday, an AI workbench that lets scientists work in one environment connected to more than 60 scientific databases and prebuilt toolkits for fields like genomics, protein structure, and chemistry. The company emphasized it uses the same Claude models already available to everyone, with no special access or gating. It is available in beta to Pro, Max, Team, and Enterprise subscribers.
Why it matters
Anthropic is shifting its strategy from competing purely on model capability to building vertical, workflow-level products for specific industries—similar to how Claude Code became the operating layer for software development. This approach may shape how the company prices and competes against rivals like OpenAI and Google DeepMind, each pursuing different strategies (subscription access, enterprise-gated research preview, and proprietary owned models respectively) to win the scientific research market.
What to watch
The workbench includes a built-in fact-checker that double-checks citations and calculations before publication, and runs on a lab's own infrastructure rather than sending data to Anthropic's servers. Anthropic is also offering up to $30,000 in credits to support up to 50 Claude Science projects focused on postdoctoral and graduate research across biomedical fields; applications are open through July 15, 2026, with projects running from September 1 to December 1, 2026.
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