product updateAnthropic

Anthropic launches Claude Science desktop app with native access to 60+ scientific databases

TL;DR

Anthropic released Claude Science, a specialized desktop application for macOS and Linux that connects Claude models to scientific databases and compute infrastructure. The public beta app includes analysis specialists for genomics, single-cell biology, proteomics, and structural biology, with native connections to over 60 scientific databases.

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Anthropic launches Claude Science desktop app with native access to 60+ scientific databases

Anthropic released Claude Science, a specialized desktop application designed for scientific research workflows. The public beta launches today for macOS and Linux.

What Claude Science does

Claude Science is not a new model—it uses existing Claude models included in user plans. According to Anthropic, the app "runs analyses, searches databases, and traces every step from data wrangling to publication."

The application differentiates itself from general AI assistants by managing compute environments and maintaining full provenance tracking for results. It can run pipelines, navigate scientific databases, orchestrate cluster jobs, and preserve session history.

Scientific capabilities

The app ships with built-in analysis specialists for:

  • Genomics
  • Single-cell biology
  • Proteomics
  • Structural biology
  • Cheminformatics

Claude Science connects natively to over 60 scientific databases and domain-specific open models. It integrates with NVIDIA's BioNeMo Agent Toolkit, providing access to life sciences models including Evo 2, Boltz-2, and OpenFold3.

Availability and requirements

The desktop app is available to users on Pro, Max, Team, and Enterprise plans. Anthropic provides documentation and download links on its website.

Claude Science joins Anthropic's existing desktop offerings, which include the main Claude app with Claude AI, Cowork, and Code features.

What this means

This release represents Anthropic's push into vertical-specific applications rather than relying solely on general-purpose AI assistants. By pre-integrating scientific databases and compute infrastructure, Anthropic reduces the setup burden for researchers who need to run complex analyses. The focus on provenance tracking and session persistence addresses reproducibility concerns in scientific computing. Whether researchers adopt a specialized desktop app over web interfaces or API integrations remains to be seen.

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