Dappier, an early-stage startup, aims to ensure that publishers are compensated when their content is used to train large language models. The company recently raised a $2 million seed round and launched a marketplace where publishers can set prices for their content’s usage. Co-founder and CEO Dan Goikhman describes Dappier as a monetization stack for the emerging AI internet, providing infrastructure for content payment as it gets distributed. The startup’s solution involves connecting customers to a content store via an RSS feed to build models using retrieval-augmented generation (RAG). Publishers can then sell access to these models or monetize the content in other ways, such as through AI-powered search engines. This approach offers a new revenue stream for publishers, which is crucial as traditional website advertising becomes less profitable. The $2 million seed round was led by Silverton Partners, based in Austin, Texas, where Dappier is also headquartered.
Dappier Raises $2M to Help Publishers Monetize Content in AI Training
Dappier launches a marketplace to help publishers monetize their content used in AI training.
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