We are excited to announce a first-of-its-kind revenue-sharing model for AI-generated content, ensuring that publishers are fairly compensated when their paywalled research is cited by AI.
Our domain-specific large language model (LLM), ZAIA, uses Retrieval-Augmented Generation (RAG) to retrieve data from a diverse collection of open access (OA) and paywalled metadata through licensing agreements with publishers. Based on reference generation by the LLM, our new revenue-sharing model enables a fair and sustainable approach to compensating academic publishers for the use of their content by AI.
Empowering Publishers with AI Innovation
For years, major academic publishers have been cautious about AI companies using their research, citing copyright concerns, revenue impact, and the need for proper attribution. Our new model introduces a transparent, ethical approach for publishers to monetise their content in the AI era.
Many large language models are restricted to training on publicly available research, as major publishers have not yet actively licensed their work to AI companies. Our revenue-sharing model is one of the first of its kind, ensuring clear consent, proper attribution, and fair compensation based on content retrieval. The transparent revenue-sharing mechanism ensures fair compensation for publishers based on the number of references provided in ZAIA’s responses.
Our co-founder, Kamran Kardan, said:
“This is a positive shift for the academic publishing industry. For the first time, AI is being used to drive revenue back to publishers instead of bypassing them. Ethical AI also means giving credit—and compensation—where it’s due. In the long term, we believe even authors should share in this revenue.”
We are partnering with a range of international publishers on this model, including IT Governance, Lexxion, British Online Archives, and Lived Places Publishing. Additionally, the RAG model is available for open access publishers, and we are currently exploring alternative compensation models for open access.
A Leap Forward for Researchers and Institutions
ZAIA provides users with precise, contextually relevant content tailored to their research needs. It offers answers to researchers’ questions with reference-backed responses, ensuring that researchers and institutions can access high-quality, peer-reviewed materials while supporting the publishers who produce them.
Promoting Sustainable and Ethical AI Content Partnerships
To deliver accurate, unbiased, and comprehensive insights, large language models (LLMs) require diverse academic content. Our RAG-based model encourages broader collaboration between publishers and AI companies, fostering ethical agreements rooted in mutual licensing. Direct licensing with publishers allows us to guarantee high-quality, accurate, and up-to-date content, including retractions and data updates, thereby placing research integrity at the heart of our platform and our development of sustainable AI.
We invite publishers, researchers, and institutions to collaborate in shaping the future of AI-driven research. To learn more about partnership opportunities, visit www.zendy.io or contact us at partnerships@zendy.io.
About Zendy
We are an AI-powered research library with over 780,000 users across 190+ countries. Designed to streamline the research process, we provide access to millions of journals, articles, and e-books, while offering a range of AI-driven tools, including ZAIA, an AI assistant that helps researchers expedite their research journey.
We collaborate with leading academic publishers to make scholarly content more accessible and affordable, ensuring that users can explore high-quality research with ease.
Zendy was created to facilitate access to academic literature. By addressing the key challenges that researchers face with traditional ways of finding relevant, high-quality academic content, we strive to provide peace of mind to students, researchers, professionals, and knowledge enthusiasts.
We are developed by Knowledge E in a growing collaboration with researchers, students, institutions, and publishers. Our mission is to democratise access to content by making it more affordable and accessible. There are no limitations on reading, just simple access to scholarly resources.
For more information visit zendy.io.