Pippa, a newly launched generative AI video platform, is attempting to address long-standing concerns from artists about AI companies training models on their work without permission by implementing a direct payment structure for creators.
The company, founded by Hogan Shrum and Sean Wright, pays artists $0.005 per generated image and $0.003 per second of video, with additional compensation through a 5 percent royalty pool funded by subscription revenue. Pippa charges users between $14.99 and $99.99 monthly for access to its text-to-video generation capabilities. Since launching in May, the platform has secured approximately 800 paying subscribers and signed licensing agreements with four artists, with discussions ongoing to onboard four additional creators. The founders compare their payment model to Spotify’s royalty structure, though they acknowledge apprehension among some artists about participating due to community concerns about embracing AI technology.
Despite these efforts to create an ethical alternative, Pippa’s underlying technology presents complications. While the company aims to eventually transition to models trained solely on datasets from partner artists, its current systems rely on open-source models with initial training data drawn from broadly scraped internet content—the same practice that has drawn criticism toward other AI firms. The platform’s visual output currently resembles other text-to-video services, with much of the existing content consisting of child-oriented material attempting to mimic established animation studios rather than distinctive independent artistic styles.
The startup’s success will likely depend on its ability to sign more partner artists and demonstrate that the compensation model is financially viable. Pippa plans to integrate ByteDance’s Sora 2.5 model to improve video generation quality, but differentiation from competitors will require building a substantial roster of in-house artists. The founders maintain confidence that as audiences observe the company’s payment practices and understand its intentions, broader adoption among artists will follow—contingent upon shifting public sentiment regarding generative AI technology.
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