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features
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support

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Description

Claude Science is an AI-powered research environment that enables scientists to perform data analysis, computational research, literature review, and scientific writing from a single integrated application. Rather than serving as a standalone language model, the platform combines Claude's AI capabilities with scientific databases, laboratory tools, high-performance computing resources, and research software to support complete scientific workflows. Researchers can analyze datasets, generate publication-quality figures, explore hypotheses, review literature, and prepare manuscripts while maintaining complete reproducibility for every result. The application automatically records the code, computational environment, and conversation behind each artifact, allowing analyses to be reproduced, validated, edited, or expanded long after the original work is completed. Claude Science supports scientific disciplines including genomics, single-cell sequencing, proteomics, structural biology, cheminformatics, and other computational research fields through specialized workflows and database integrations. The platform operates across local computers, Linux systems, remote servers, and HPC environments while managing the computational infrastructure needed for each analysis. Built-in connectors allow laboratories to integrate internal APIs, electronic lab notebooks, custom pipelines, and scientific software into existing research environments. Scientists can continue using their established workflows while adding AI-powered automation, reasoning, and computational assistance where it provides the greatest value.

Description

In recent years, high-performance computing has become a more accessible resource for a greater number of researchers within the scientific community than ever before. The combination of quality open-source software and affordable hardware has significantly contributed to the widespread adoption of Beowulf class clusters and clusters of workstations. Among various parallel computational approaches, message-passing has emerged as a particularly effective model. This paradigm is particularly well-suited for distributed memory architectures and is extensively utilized in today's most demanding scientific and engineering applications related to modeling, simulation, design, and signal processing. Nonetheless, the landscape of portable message-passing parallel programming was once fraught with challenges due to the numerous incompatible options developers faced. Thankfully, this situation has dramatically improved since the MPI Forum introduced its standard specification, which has streamlined the process for developers. As a result, researchers can now focus more on their scientific inquiries rather than grappling with programming complexities.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
AWS Marketplace Yes 
Accenture AI Refinery Yes 
Amazon Web Services (AWS) Yes 
C No 
C++ No 
Claude Fable 5 Yes 
Claude Haiku 5.5 Yes 
Claude Mythos 5 Yes 
Claude Opus 4.5 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.7 Yes 
Deloitte Cascade Suite Yes 
Fortran No 
Google Workspace Yes 
Microsoft Outlook Yes 
Microsoft Teams Yes 
PwC Check-In Yes 
Snowflake Yes 
Turing Yes 

Integrations

Python Yes 
AWS Marketplace No 
Accenture AI Refinery No 
Amazon Web Services (AWS) No 
C Yes 
C++ Yes 
Claude Fable 5 No 
Claude Haiku 5.5 No 
Claude Mythos 5 No 
Claude Opus 4.5 No 
Claude Opus 4.6 No 
Claude Opus 4.7 No 
Deloitte Cascade Suite No 
Fortran Yes 
Google Workspace No 
Microsoft Outlook No 
Microsoft Teams No 
PwC Check-In No 
Snowflake No 
Turing No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

claude.com/product/claude-science

Vendor Details

Company Name

MPI for Python

Website

mpi4py.readthedocs.io/en/stable/

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