Zendy announces revenue-sharing model for academic publishers

Zendy has launched what it describes as a “first-of-its-kind revenue-sharing model for AI-generated content”, which ensures that publishers are fairly compensated when their paywalled research is cited by AI.

The 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.

The company states: “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.”

Zendy 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.”

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