Your new AI-powered research assistant

Springer Nature is committed to delivering responsible AI enabled solutions to support the global research community. Feedback from our researchers is clear: they look to us not only for guidance and support in using AI. This is why we have developed Nature Research Assistant.  

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Nature Research Assistant responds directly to what researchers have asked us for – a trusted AI-powered tool that supports them in doing their work, but better. Built with - and specifically for – researchers, Nature Research Assistant uses trusted content and expertise to help researchers develop, improve and refine their work in line with the highest editorial standards. It currently supports researchers undertaking everyday tasks such as writing, reading and discovering research papers.

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Nature Research Assistant does not store or use any content uploaded by researchers to train any other AI tool or model.   

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Nature Research Assistant has already been extensively tested by researchers, but it is now in beta testing with additional researchers to further test its ‘real-world’ application.  Feedback from this phase will continue to inform, increase and improve its functionalities. We are actively encouraging those testing it to provide feedback on Nature Research Assistant and its outputs to help us improve the tool for researchers around the globe.

Nature Research Assistant is designed to help you discover, read and understand research papers faster. You can also use it to get advice on writing original research manuscripts.      

You should only use Nature Research Assistant for research purposes to assist you in identifying, understanding, and crediting source material relevant to your research.  Nature Research Assistant's outputs are not a substitute for your own research.  You should refer to the underlying source material for the full context and continue to follow usual standards of academic integrity while using Nature Research Assistant.

Nature Research Assistant is powered by AI. Outputs are generated by large language models (LLMs) and we use a range of in-house developed machine learning techniques to generate the high-quality outputs. The content users upload is not used to train the LLM. The features have been carefully designed by domain experts to meet the specific needs of researchers and to ensure high quality outputs.   

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AI can make mistakes – Nature Research Assistant may occasionally generate incorrect or misleading information. When using the tool, researchers should always refer to the underlying source material for the full context and double check outputs, including against the underlying source material, before using, sharing or publishing them. 

Nature Research Assistant is not a generic AI tool—it’s built specifically for researchers. A recent Springer Nature survey found that over 50% of researchers see AI as increasingly important in supporting their work. However, they want tools they can trust—tools that protect their data, uphold scientific integrity, and are developed with their needs in mind. Data also shows that researchers are looking to publishers to help support and guide this. 

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Nature Research Assistant has been developed in direct response to these needs, and in collaboration with researchers. It’s powered by AI and built on a vast corpus of peer-reviewed academic content. Its features are designed to save researchers time without compromising scientific rigor. 

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Importantly, user content is never used to train the AI, and we maintain strict standards around data use and AI integrity. While AI outputs should always be reviewed critically, and it is always important for researchers to read the full paper of any that they cite, the team at Nature Research Assistant have developed measures to enable outputs to be of high quality based on a range of criteria.  

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For example, what sets Nature Research Assistant apart from ChatGPT? 

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No, Nature Research Assistant is publisher-agnostic and can be used with any paper.